Staff profile

Dr. Qing Wang is an Associate Professor within the Department of Engineering at Durham University. Her PhD programme was sponsored by BAE Systems and her doctoral research was carried out to identify and develop Artificial Neural Network techniques for use within the cost model development process. Her ANN techniques have since been successfully applied to the development of consultancy work to establish thermoforming cost models within the Composite Wing Programme at BAE Systems.

Dr Wang has over fifteen years’ experience in research, industrial and project management and has secured funding from the Nuffield Foundation, Knowledge Transfer Partnerships, BP, IMechE, Royal Academy of Engineering, Royal Society, EPSRC and EU for her research. Her research interests focus on product life cycle engineering including cost engineering, virtual manufacturing/remanufacturing systems involved in operations research, large scale metrology and enterprise supply networks design. Since 2010, she has extended her research into product service systems in relation to developing wind turbine condition monitoring techniques. Dr Wang has published two co-authored books and more than 80 papers in refereed journals and international conferences.

Dr Wang is the Associate Editor of IEEE Transactions of Instrumentation and Measurement. She is on the Editorial Board for the IEEE Transactions of Instrumentation amd Measurement, International Journal of Optimisation and Control: Theory and Applications and International Journal of Research in Computer Science. She is also a peer-reviewer for a number of international journals including IJPR, IJAMT, IJPE, IJCIM and IMechE Part B. She has served as an international scientific committee member for several international conferences including ICMR and ICMEEM. She was a Session Chair for the ASME 16^th and 17^th Design for Manufacturing and the Life Cycle Conferences (DFMLC) in 2011 and 2012, the Program Chair for the ASME DFMLC Conference in 2016 and is the Conference Chair for the ASME DFMLC Conference in 2017. She is a Chartered Engineer (CEng), a senior member of IEEE(SMIEEE), a member of IMechE(MIMechE), a member of ASME(MASME), a member of EC (UK Engineering Council), a Mid-Career Fellow of Durham Energy Institute and a Fellow of the Higher Education Academy.

Student recruitment

Dr. Wang is keen to work with talented students with an education background in maths, electronics, electrical engineering and mechanical engineering on MSc/PhD projects. These projects are likely related to structural health monitoring using nondestructive testing and evaluation; energy storage and transfer ( battery) developing wind turbine condition monitoring techniques; establishing remanufacturing systems for new materials; laser metrology for large scale component measurement; and supply chain optimisation and integration. If you are interested in any of these projects and would like to apply for a position at Durham, please email Dr. Wang with a full resume for further discussion. 

• Product life cycle engineering
• Sustainable design and manufacturing
• Supply chain management optimisation and integration
• Electronic instrumentation and mesurement ( advanced measurment method)
• Structural health monitoring (No-destructive testing)
• Wind turbine condition monitoring

Authored book

• Huang, S., Wang, S., Li, W., & Wang, Q. (2016). Electromagnetic Ultrasonic Guided Waves. Springer Verlag. https://doi.org/10.1007/978-981-10-0564-0

Chapter in book

• Wang, Q. (2005). Virtual Manufacturing & Systems. In E-Manufacturing: Fundamentals and Applications (231-263). WIT Press

Conference Paper

• Zhang, Y., Wang, Q., & Huang, S. (2022). Structure health monitoring of concrete structures using magnetic flux leakage. . https://doi.org/10.11159/iccste22.214
• Ceron-Oliver, L., Wang, Q., & Zeze, D. (2022). Air-Gapped Current Transformer simulation and accuracy assessment. . https://doi.org/10.1109/melecon53508.2022.9843105
• Sun, S., & Wang, Q. (2022). A comparison of air pollution in developed and developing cities: A case study of London and Beijing.
• Coutts, H., & Wang, Q. (2021). Using machine learning for the classification of the remaining useful cycles in Lithium-ion batteries. . https://doi.org/10.1115/detc2021-69647
• Alvarez-Lares, J., & Wang, Q. (2020). Image reconstruction using RAPID Algorithm with Time-Frequency analysis. . https://doi.org/10.1109/iciea48937.2020.9248181
• Kumrai-Woodruff, R., & Wang, Q. (2020). Temperature control to increase inter-layer bonding strength in fused deposition modelling. . https://doi.org/10.1115/detc2020-22342
• Wilson, A., & Wang, Q. (2020). Design and development of hardware to analyse and categorize the condition of batteries with the aim of enabling their re-use. . https://doi.org/10.1115/detc2020-22321
• Wang, Z., Huang, S., Sun, H., Wang, S., Wang, Q., & Zhao, W. (2019). Multimodal lamb wave identification using combination of instantaneous frequency with EMD. In 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019) ; proceedings. https://doi.org/10.1109/i2mtc.2019.8827058
• Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2019). Synchronization issues with irregular current injection islanding detection methods in multi-DG operation. In 2019 3rd IEEE International Conference on Green Energy and Applications ; proceedings (21-29). https://doi.org/10.1109/icgea.2019.8880795
• Aitchison, A., & Wang, Q. (2019). Localised pre-heating to improve inter-layer delamination strength in fused deposition modelling.
• Wang, Q., & Munthe, T. (2018). Optimising the delivery and pick-up routes for packed water bottles. In P. Thorvald, & K. Case (Eds.), Advances in manufacturing technology XXXII (441-446). https://doi.org/10.3233/978-1-61499-902-7-441
• Chen, L., Zhao, W., Yu, Y., Wang, Q., & Huang, S. (2018). Improved interpolated dynamic DFT synchrophasor estimator considering second harmonic interferences. In 2018 IEEE International Instrumentation and Measurement Technology Conference : 14-17 May 2018, Houston, Texas, USA ; proceedings (1348-1353). https://doi.org/10.1109/i2mtc.2018.8409744
• Wang, Z., Huang, S. L., Wang, S., Wang, Q., & Zhao, W. (2018). Development of a new EMAT for multi-helical SH guided waves based on magnetostrictive effect. In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) : 14-17 May 2018, Houston, Texas, USA ; proceedings (1279-1284). https://doi.org/10.1109/i2mtc.2018.8409576
• Capitaine, J., & Wang, Q. (2018). Design of a test platform for the determination of lithium-ion batteries state-of-health.
• Wang, Q., Cheng, X., & Wang, J. (2017). A new algorithm for a fast testing and sorting system applied to battery clustering. In Renewable energy resources impact : 2017 6th International Conference on Clean Electrical Power (ICCEP) : Santa Margherita Ligure, 27-29 June 2017 (397-402). https://doi.org/10.1109/iccep.2017.8004846
• Zhou, J., Wang, Q., & Wang, J. (2017). Lithium-ion laptop battery test and energy recycling. In Proceedings of the ASME 2017 International Design Engineering Technical Conference and Computers and Information in Engineering Conference (IDETC/CIE 2017) : August 6-9, 2017, Cleveland, Ohio, USA. https://doi.org/10.1115/detc2017-67803
• Mankowski, O., & Wang, Q. (2016). Real-time monitoring of wind turbine blade alignment using laser measurement. . https://doi.org/10.1016/j.procir.2016.10.041
• Xiao, Y., Zhao, W., Chen, L., Huang, S., & Wang, Q. (2016). Fast quasi-synchronous harmonic algorithm based on weight window function- mixed radix FFT. In 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) : September 28-30, 2016, Aachen, Germany ; proceedings (1-6). https://doi.org/10.1109/amps.2016.7602865
• Scanlon, R., Wang, Q., & Wang, J. (2016). Ant colony optimisation model for vehicle routing problem with simultaneous pickup and delivery. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference : 21st Design for Manufacturing and the Life Cycle Conference, Charlotte, North Carolina, USA, August 21–24, 2016. https://doi.org/10.1115/detc2016-59951
• Cunha, L., & Wang, Q. (2015). Sampling methods for uncertainty in life cycle cost analysis in product design. In 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems (DETC2015-47116). https://doi.org/10.1115/detc2015-47116
• Rees, M., & Wang, Q. (2014). Design and analysis of a sustainable multi-objective distribution network using simulation-based optimisation. In 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems, 17-20 August 2014, Buffalo, New York ; proceedings (Paper No. DETC2014-34957, pp. V004T06A022; 10 pages). https://doi.org/10.1115/detc2014-34957
• Mankowski, O., & Wang, Q. (2013). Real-time monitoring of wind turbine generator shaft alignment using laser measurement. . https://doi.org/10.1016/j.procir.2013.07.019
• Dai, H., & Wang, Q. (2012). Reverse logistics network design for the collection of end-of-life vehicles.
• Liu, J., & Wang, Q. (2011). Towards Sustainable Product Design.
• Yang, B., Wang, Q., Trevelyan, J., & Crouch, R. (2010). An application of freeform surface modelling by laser scanning technique and reverse engineering.
• Jones, N., & Wang, Q. (2009). A mixed integer programming approach for logistic network design and optimisation information and value adding networks.
• Wang, Q. (2009). Developing a simulation approach to support sustainable remanufacturing planning and control.
• Wang, Q. (2008). Evaluation of order release mechanisms in supply chain networks: a simulation approach.
• Sweetman, A., & Wang, Q. (2008). Development of a consumer end-of-life vehicle database system.
• Russel-Johnson, R., & Wang, Q. (2007). End of life recovery and recycling technology in the automotive industry.
• Woy, U., & Wang, Q. (2007). Enterprise resource planning (ERP): Business process innovation management in a manufacturing SME.
• Doyle, J., & Wang, Q. (2007). Product life cycle process analysis.
• Woy, U., & Wang, Q. (2007). New product development: implementing procedures for sustainable product development in SME's utilising available technologies.
• Massey, T., & Wang, Q. (2007). Modelling and simulation of complex manufacturing systems.
• Woy, U. B., G., D., & Wang, Q. (2006). A framework for evaluating and selecting computer aided design (CAD) and computer aided manufacturing (CAM) system for use in Small-to-Medium-Sized enterprises (SMEs).
• Wang, Q., & Maropoulos, P. (2005). Artificial neural networks as a cost engineering methods in collaborative manufacturing environment. In M. Sobolewski, & P. Ghodous (Eds.),
• Wang, Q. S., J., D., & Maropoulos, P. (2005). Agile design of the integrated multi-component flexible machining lines.
• Wang, Q., Potter, N., & Maropoulos, P. (2005). Life cycle costing in product design.
• Wang, Q., & Maropoulos, P. (2004). Development of an integrated simulation tool for flexible machining lines.
• 11th European Concurrent Engineering Conference; ECEC 2004; April 19 - 21, 2004, Hasselt, Belgium (14-18)
• Wang, Q., & Maropoulos, P. (2004). Improving supply chain collaboration by cost modelling technology.
• Baguley, P., Wang, Q., & Maropoulos, P. (2004). System thinking applied to life cycle costing and life cycle engineering.
• Baguley, P., Wang, Q., & Stockton, D. (2003). Improving cost modelling using fuzzy logic.
• Wang, Q., & Stockton, D. (2003). Designing multi-component flexible machining lines.
• Wang, Q., & Stockton, D. (2003). Database design for flexible machining lines.
• Wang, Q., & Stockton, D. (2002). System design and optimisation of flexible machining lines.
• Wang, Q., & Stockton, D. (2002). Artificial neural networks for improving the cost model development process. In D. Webb, & K. . C. Cheng (Eds.), Advances in manufacturing technology XVI: Proceedings of the eighteenth National Conference on Manufacturing Research, Leeds Metropolitan University, UK, 10-12 September 2002 (95-100)
• Wang, Q., & Stockton, D. (2002). Artificial neural networks and their applications in cost model development process.
• Wang, Q., & Stockton, D. (2000). Using neural networks in cost model development process.
• Baguley, P., Wang, Q., & Stockton, D. (2000). Applied advanced cost estimating technology for manufacturing processes.
• Wang, Q., & Stockton, D. (1999). Process time estimating using neural networks.
• Stockton, D., & Wang, Q. (1999). Applying advanced modelling techniques to cost estimating.

Journal Article

• Huang, Y., Wang, Q., & Xu, J. (2023). A Stackelberg-based biomass power trading game framework in hybrid-wind/solar/biomass system: From technological, economic, environmental and social perspectives. Journal of Cleaner Production, 403, Article 136806. https://doi.org/10.1016/j.jclepro.2023.136806
• Huang, J., Guo, J., Huang, H., Wang, Q., & Li, W. (2023). Components of thermal protection mechanism of carbon/phenolic composites exposed to severe aerodynamic heat. Polymer Composites, 44(1), 136-147. https://doi.org/10.1002/pc.27032
• Liu, M., Zhao, W., Wang, Q., Wang, Z., Jiang, C., Shu, J., …Bai, Y. (2022). Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers. IEEE Transactions on Power Electronics, 37(3), 3599-3616. https://doi.org/10.1109/tpel.2021.3117879
• Xu, L., Wang, Q., Ivrissimtzis, I., & Li, S. (2022). Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 5(1), Article 011004. https://doi.org/10.1115/1.4051222
• Wang, Z., Wang, S., Wang, Q., Zhan, Z., Zhao, W., & Huang, S. (2022). Bayesian compressive sensing for recovering the time-frequency representation of undersampled lamb wave signals. Applied Acoustics, 187, Article 108480. https://doi.org/10.1016/j.apacoust.2021.108480
• Huang, S., Wang, Z., Wang, S., Wang, Q., & Zhao, W. (2021). Characteristic analysis of electromagnetic acoustic transducers for helical shear horizontal wave based on magnetostrictive effect. Review of Scientific Instruments, 92(2), Article 025006. https://doi.org/10.1063/5.0023382
• Huang, S., Peng, L., Sun, H., Wang, Q., Zhao, W., & Wang, S. (2021). Frequency response of an underwater acoustic focusing composite lens. Applied Acoustics, 173, Article 107692. https://doi.org/10.1016/j.apacoust.2020.107692
• Huang, S., Sun, H., Peng, L., Wang, S., Wang, Q., & Zhao, W. (2021). Defect detection and identification of point-focusing shear-horizontal EMAT for plate inspection. IEEE Transactions on Instrumentation and Measurement, 70, Article 9506409. https://doi.org/10.1109/tim.2021.3062421
• Li, S., Schlamminger, S., Marangoni, R., Wang, Q., Haddad, D., Seifert, F., …Zhao, W. (2021). Resolution of the paradox of the diamagnetic effect on the Kibble Coil. Scientific Reports, 11, Article 1048. https://doi.org/10.1038/s41598-020-80173-9
• Sun, H., Peng, L., Wang, S., Wang, Q., Zhao, W., & Huang, S. (2021). Effective Focal Area Dimension Optimization of Shear Horizontal Point-Focusing EMAT Using Orthogonal Test Method. IEEE Transactions on Instrumentation and Measurement, 70, https://doi.org/10.1109/tim.2021.3073713
• Sun, H., Wang, S., Huang, S., Peng, L., Wang, Q., Zhao, W., & Zou, J. (2020). 3D focusing acoustic lens optimization method using multi-factor and multi-level orthogonal test designing theory. Applied Acoustics, 170, Article 107538. https://doi.org/10.1016/j.apacoust.2020.107538
• Gao, Y., Liu, Z., Wang, Q., Liu, C., & Sun, Y. (2020). Investigation on strengthening and toughening mechanisms of Nb-Ti-ZrB2 metal matrix ceramic composites reinforced with in situ niobium and titanium boride. International Journal of Refractory Metals and Hard Materials, 92, Article 105282. https://doi.org/10.1016/j.ijrmhm.2020.105282
• Li, S., Schlamminger, S., & Wang, Q. (2020). A Simple Improvement for Permanent Magnet Systems for Kibble Balances: More Flat Field at Almost No Cost. IEEE Transactions on Instrumentation and Measurement, 69(10), 7752-7760. https://doi.org/10.1109/tim.2020.2981983
• Wang, Z., Huang, S., Wang, S., Zhuang, S., Wang, Q., & Zhao, W. (2020). Compressed Sensing Method for Health Monitoring of Pipelines Based on Guided Wave Inspection. IEEE Transactions on Instrumentation and Measurement, 69(7), 4722-4731. https://doi.org/10.1109/tim.2019.2951891
• Spriggs, P., & Wang, Q. (2020). Computationally Modelling the Use of Nanotechnology to Enhance the Performance of Thermoelectric Materials. Energies, 13(19), Article 5096. https://doi.org/10.3390/en13195096
• Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2020). A Damage Localization Method With Multimodal Lamb Wave Based on Adaptive Polynomial Chirplet Transform. IEEE Transactions on Instrumentation and Measurement, 69(10), 8076-8087. https://doi.org/10.1109/tim.2020.2993342
• Wang, Z., Wang, S., Wang, Q., Zhao, W., & Huang, S. (2020). Development of a Helical Lamb Wave Electromagnetic Acoustic Transducer for Pipeline Inspection. IEEE Sensors Journal, 20(17), 9715-9723. https://doi.org/10.1109/jsen.2020.2990795
• Sun, H., Huang, S., Wang, Q., Wang, S., & Zhao, W. (2020). Orthogonal Optimal Design Method for Point-Focusing EMAT Considering Focal Area Dimensions. Sensors and Actuators A: Physical, 312, Article 112109. https://doi.org/10.1016/j.sna.2020.112109
• Li, S., Wang, Q., Zhao, W., & Huang, S. (2020). From μ0 to e: A Survey of Major Impacts for Electrical Measurements in Recent SI Revision. IEEE Transactions on Instrumentation and Measurement, 69(9), 5956-5965. https://doi.org/10.1109/tim.2020.3010351
• He, H., Zhao, W., Huang, S., Fox, G., & Wang, Q. (2020). Research on the Architecture and its Implementation for Instrumentation and Measurement Cloud. IEEE Transactions on Services Computing, 13(5), 944-957. https://doi.org/10.1109/tsc.2017.2723006
• Sun, H., Wang, S., Huang, S., Peng, L., Wang, Q., & Zhao, W. (2020). Oblique Point-Focusing Shear-Horizontal Guided-Wave Electromagnetic Acoustic Transducer With Variable PPM Spacing. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 67(8), 1691-1700. https://doi.org/10.1109/tuffc.2020.2980621
• Sun, H., Wang, S., Huang, S., Peng, L., Wang, Q., Zhao, W., & Zou, J. (2020). Point-Focusing Shear-Horizontal Guided Wave EMAT Optimization Method Using Orthogonal Test Theory. IEEE Sensors Journal, 20(12), 6295-6304. https://doi.org/10.1109/jsen.2020.2976198
• Song, G., Wang, Q., Sun, L., Li, S., Sun, Y., Fu, Q., & Pan, C. (2020). One-step synthesis of sandwich-type Cu/graphene/Cu ultrathin foil with enhanced property via electrochemical route. Materials & Design, 191, Article 108629. https://doi.org/10.1016/j.matdes.2020.108629
• Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2020). Design of Electromagnetic Acoustic Transducer for Helical Lamb Wave With Concentrated Beam. IEEE Sensors Journal, 20(12), 6305-6313. https://doi.org/10.1109/jsen.2020.2976512
• Huang, S., Sun, H., Shen, G., Wang, B., Wang, Q., Zou, J., & Wang, S. (2020). Characteristics of T(0, 1) Guided-Wave Point-Focusing Electromagnetic Acoustic Transducer for Pipe Inspection. IEEE Sensors Journal, 20(6), 2895-2903. https://doi.org/10.1109/jsen.2019.2958953
• Yu, Y., Zhao, W., Chen, L., Wang, Q., & Huang, S. (2020). Power Measurement Accuracy Analysis in the Presence of Interharmonics. Measurement, 154, Article 107484. https://doi.org/10.1016/j.measurement.2020.107484
• Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2020). A solution to the parameter selection and current static error issues with frequency shift islanding detection methods. IEEE Transactions on Industrial Electronics, 68(2), 1401-1411. https://doi.org/10.1109/tie.2020.2970684
• Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2020). Multi-helical Lamb Wave Imaging for Pipe-like Structures Based on a Probabilistic Reconstruction Approach. IEEE Transactions on Instrumentation and Measurement, 70, Article 6002510. https://doi.org/10.1109/tim.2020.3038474
• Sun, H., Wang, S., Huang, S., Peng, L., Wang, Q., & Zhao, W. (2020). Design and characterization of an acoustic composite lens with high-intensity and directionally controllable focusing. Scientific Reports, 10(1), Article 1469. https://doi.org/10.1038/s41598-020-58092-6
• Sun, H., Wang, S., Huang, S., Wang, Q., & Zhao, W. (2020). Numerical modelling of unilateral point-focusing electromagnetic acoustic transducer with experimental validation. International Journal of Applied Electromagnetics and Mechanics, 62(4), 645-662. https://doi.org/10.3233/jae-190071
• Chen, L., Zhao, W., Wang, F., Wang, Q., & Huang, S. (2019). Accurate and fast synchrophasor estimator for distribution networks. Measurement Science and Technology, 30(12), https://doi.org/10.1088/1361-6501/ab367e
• Zhuang, S., Zhao, W., Wang, R., Wang, Q., & Huang, S. (2019). New measurement algorithm for supraharmonics based on multiple measurement vectors model and orthogonal matching pursuit. IEEE Transactions on Instrumentation and Measurement, 68(6), 1671-1679. https://doi.org/10.1109/tim.2018.2878613
• Huang, S., Sun, H., Wang, S., Wang, Q., & Zhao, W. (2019). Numerical evaluation of focal position selection by line-focusing electromagnetic acoustic transducer with experimental validation. International Journal of Applied Electromagnetics and Mechanics, 61(3), 341-355. https://doi.org/10.3233/jae-190021
• Wu, Q., Sun, Y., Chen, W., Wang, Q., & Chen, G. (2019). Theoretical prediction and experimental verification of the unbalanced magnetic force in air bearing motor spindles. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(12), 2330-2344. https://doi.org/10.1177/0954405419838656
• Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2019). Multifrequency Identification and Exploitation in Lamb Wave Inspection. IEEE Access, 7, 150435-150443. https://doi.org/10.1109/access.2019.2947711
• Chen, L., Zhao, W., Wang, Q., Wang, F., & Huang, S. (2019). Dynamic Harmonic Synchrophasor Estimator based on Sinc Interpolation Functions. IEEE Transactions on Instrumentation and Measurement, 68(9), 3054-3065. https://doi.org/10.1109/tim.2018.2876074
• Chan, C. H. L., Wang, Q., Holden, R., Huang, S., & Zhao, W. (2019). Optimal Number of Control Points for Fitting B-Splines in Wind Turbine Blade Measurement. International Journal of Precision Engineering and Manufacturing, 20(9), 1507-1517. https://doi.org/10.1007/s12541-019-00173-2
• Guo, J., Huang, H., Wang, Q., Tian, Y., & Zhao, Y. (2019). Measuring method for thermal conductivity of a pyrolysis layer. Polymer Degradation and Stability, 166, 155-162. https://doi.org/10.1016/j.polymdegradstab.2019.05.035
• Yang, Z., Wang, Q., Du, H., Fan, J., & Liang, J. (2019). Dynamic characterization method of accelerometers based on the Hopkinson bar calibration system. Sensors and Actuators A: Physical, 293, 21-28. https://doi.org/10.1016/j.sna.2019.03.035
• Zhuang, S., Zhao, W., Wang, Q., Wang, Z., Chen, L., & Huang, S. (2019). A High-Resolution Algorithm for Supraharmonic Analysis Based on Multiple Measurement Vectors and Bayesian Compressive Sensing. Energies, 12(13), Article 2559. https://doi.org/10.3390/en12132559
• Huang, S., Peng, L., Wang, Q., & Wang, S. (2019). An Opening Profile Recognition Method for Magnetic Flux Leakage Signals of Defect. IEEE Transactions on Instrumentation and Measurement, 68(6), 2229-2236. https://doi.org/10.1109/tim.2018.2869438
• Sun, H., Wang, S., Huang, S., Wang, Q., & Zhao, W. (2019). Point-Focusing of Shear-Horizontal Wave Using Fan-Shaped Periodic Permanent Magnet Focusing Coils EMAT for Plate Inspection. IEEE Sensors Journal, 19(12), 4393-4404. https://doi.org/10.1109/jsen.2019.2901836
• Ovenden, M., Wang, Q., Huang, S., Zhao, W., & Wang, S. (2019). Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2(3), Article 031001. https://doi.org/10.1115/1.4043850
• Sun, H., Huang, S., Wang, Q., Wang, S., & Zhao, W. (2019). Improvement of unidirectional focusing periodic permanent magnet shear-horizontal wave electromagnetic acoustic transducer by oblique bias magnetic field. Sensors and Actuators A: Physical, 290, 36-47. https://doi.org/10.1016/j.sna.2019.03.003
• Qi, J., Wang, Z., Huang, J., Wang, Q., & Gao, J. (2019). Heterodyne interferometer with two parallel-polarized input beams for high-resolution roll angle measurement. Optics Express, 27(10), 13820-13830. https://doi.org/10.1364/oe.27.013820
• Huang, S., Sun, H., Wang, Q., Wang, S., & Zhao, W. (2019). Unidirectional focusing of horizontally polarized shear elastic waves electromagnetic acoustic transducers for plate inspection. Journal of Applied Physics, 125(16), Article 164504. https://doi.org/10.1063/1.5078776
• Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2019). Compatibility Issues with Irregular Current Injection Islanding Detection Methods and a Solution. Energies, 12(8), Article 1467. https://doi.org/10.3390/en12081467
• Wang, S., Huang, S., Wang, Q., Wang, Z., & Zhao, W. (2019). Characterizing excitability of Lamb waves generated by electromagnetic acoustic transducers with coupled frequency domain models. Ultrasonics, 93, 71-80. https://doi.org/10.1016/j.ultras.2018.10.013
• Capitaine, J., & Wang, Q. (2019). Design of a test platform for the determination of Lithium-ion batteries state of health. Journal of Mechanical Design, 141(2), Article 021702. https://doi.org/10.1115/1.4041855
• Ge, L., Deng, H., Wang, Q., Hu, Z., & Li, J. (2019). Study of the influence of temperature on the measurement accuracy of transit-time ultrasonic flowmeters. Sensor Review, 39(2), 269-276. https://doi.org/10.1108/sr-01-2018-0005
• Chen, L., Zhao, W., Wang, F., Wang, Q., & Huang, S. (2019). An Interharmonic phasor and frequency estimator for subsynchronous oscillation identification and monitoring. IEEE Transactions on Instrumentation and Measurement, 68(6), 1714-1723. https://doi.org/10.1109/tim.2018.2879998
• Shi, K. P., Qiao, Y., Zhao, W., Wang, Q., Liu, M. H., & Lu, Z. (2018). An improved random forest model of short-term wind-power forecasting to enhance accuracy, efficiency, and robustness. Wind Energy, 21(12), 1383-1394. https://doi.org/10.1002/we.2261
• Sun, H., Huang, S., Wang, Q., Wang, S., & Zhao, W. (2018). Characteristics of Negative Corona Discharge in Air at Various Gaps. IEEE Transactions on Plasma Science, 47(14), 736-741. https://doi.org/10.1109/tps.2018.2884696
• Wang, S., Huang, S., Wang, Q., Wang, Z., & Zhao, W. (2018). Constrained optimization of a meander line EMAT generating S0 mode Lamb waves with genetic algorithms. International Journal of Applied Electromagnetics and Mechanics, 58(4), 411-429. https://doi.org/10.3233/jae-180086
• Liu, M., Zhao, W., Wang, Q., Huang, S., & Shi, K. (2018). An irregular current injection islanding detection method based on an improved impedance measurement scheme. Energies, 11(2474), Article 2474. https://doi.org/10.3390/en11092474
• Chen, L., Zhao, W., Wang, F., Wang, Q., & Huang, S. (2018). Enhanced Interpolated Dynamic DFT Synchrophasor Estimator Considering Second Harmonic Interferences. Sensors, 18(9), Article 2748. https://doi.org/10.3390/s18092748
• Liu, M., Zhao, W., Huang, S., Wang, Q., & Shi, K. (2018). Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy. IEEE Transactions on Energy Conversion, 33(2), 496-505. https://doi.org/10.1109/tec.2017.2761851
• Ge, L., Li, H., Wang, Q., Wei, G., Hu, Z., Liao, J., & Li, J. (2018). Design and Optimization of Annular Flow Electromagnetic Measurement System for Drilling Engineering. Journal of Sensors, 2018, Article 4645878. https://doi.org/10.1155/2018/4645878
• Auger, D., Wang, Q., Trevelyan, J., Huang, S., & Zhao, W. (2018). Investigating the quality inspection process of offshore wind turbine blades using B-spline surfaces. Measurement, 115, 162-172. https://doi.org/10.1016/j.measurement.2017.10.027
• Gao, Y., Zhao, W., Qu, K., Li, H., Shao, H., Wang, Q., & Huang, S. (2018). Design of equivalent coils for anti- interference testing of heavy current transformers. International Journal of Applied Electromagnetics and Mechanics, 56(2), 211-223. https://doi.org/10.3233/jae-170052
• Zhuang, S., Zhao, W., Wang, Q., & Huang, S. (2017). Four harmonic analysis and energy metering algorithms based on a new cosine window function. Journal of Engineering, 2017(14), 2678-2684. https://doi.org/10.1049/joe.2017.0845
• Wang, S., Huang, S., Wang, Q., Zhang, Y., & Zhao, W. (2017). Mode identification of broadband lamb wave signal with squeezed wavelet transform. Applied Acoustics, 125, 91-101. https://doi.org/10.1016/j.apacoust.2017.04.014
• Ge, L., Wei, G., Wang, Q., Hu, Z., & Li, J. (2017). Novel annular flow electromagnetic measurement system for drilling engineering. IEEE Sensors Journal, 17(18), 5831-5839. https://doi.org/10.1109/jsen.2017.2734640
• Wang, S., Huang, S., Wang, Q., Peng, L., & Zhao, W. (2017). Accelerated optimizations of an electromagnetic acoustic transducer with artificial neural networks as metamodels. Journal of Sensors and Sensor Systems, 6(2), 269-284. https://doi.org/10.5194/jsss-6-269-2017
• Zhang, Y., Huang, S., Zhao, W., Wang, S., & Wang, Q. (2017). Electromagnetic ultrasonic guided wave long-term monitoring and data difference adaptive extraction method for buried oil-gas pipelines. International Journal of Applied Electromagnetics and Mechanics, 54(3), 329-339. https://doi.org/10.3233/jae-160115
• Zhang, Y., Wang, S., Wang, Q., Huang, S., & Zhao, W. (2017). Profile imaging of actual defects in steel plate based on electromagnetic ultrasonic SH guided wave scattering. Insight - Non-Destructive Testing & Condition Monitoring, 59(7), 383-388. https://doi.org/10.1784/insi.2017.59.7.383
• Gao, Y., Zhao, W., Wang, Q., Qu, K., Li, H., Shao, H., & Huang, S. (2017). Modelling and optimization of four-segment shielding coils of current transformers. Sensors, 17(6), Article 1218. https://doi.org/10.3390/s17061218
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Patent

• Huang, S., Zhao, W., Zhang, Y., Wang, Q., & Wang, S. (2020). Device and method for detecting defect in main shaft of wind turbine

Presentation

• Bernal-Morales, J., & Wang, Q. (2020, November). Simulated irregular-Shaped defect detection and quantification through magnetic flux leakage signals. Paper presented at CEFC 2020, Pisa, Italy
• Lazcano, I., & Wang, Q. (2020, December). Quantitate evaluation of a oil pipeline crack using electromagnetic acoustic transducer (EMAT) and numerical simulation. Paper presented at CEFC 2020, Pisa, Italy