Journal Articles

Zhang, F, Han, G, Liu, L, Zhang, Y, Peng, Y, Li, C (2024) Cooperative Partial Task Offloading and Resource Allocation for IIoT Based on Decentralized Multiagent Deep Reinforcement Learning, IEEE Internet of Things Journal, 11(3), pp.5526-5544, DOI: 10.1109/jiot.2023.3306803.

Yang, X, Shu, L, Li, K, Nurellari, E, Huo, Z, Zhang, Y (2023) A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs, Sensors, 23(15), pp.6672-6672, DOI: 10.3390/s23156672.

Jombo, G and Zhang, Y (2023) Acoustic-Based Machine Condition Monitoring—Methods and Challenges, Eng, 4(1), pp.47-79, DOI: 10.3390/eng4010004.

Han, G, Liu, Y, Wang, H, Zhang, Y (2022) A Collision-Free Transmission-based Source Location Privacy Protection Scheme in UASNs under Time Slot Allocation, IEEE Internet of Things Journal, pp.1-1, DOI: 10.1109/jiot.2022.3208319.

Wu, L, Zhang, L, Shi, J, Zhang, E, Wan, J (2022) Damage detection of grotto murals based on lightweight neural network, Computers and Electrical Engineering, 102, 108237, ISSN: 0045-7906. DOI: 10.1016/j.compeleceng.2022.108237.

Martinez-Garcia, M, Zhang, E, Wang, S (2022) Mitigating threshold effects in human control by stochastic resonance with fractional colored noise, IEEE/ASME Transactions on Mechatronics, 27(6), pp.5551-5559, ISSN: 1083-4435. DOI: 10.1109/tmech.2022.3185451.

Yang, X, Shu, L, Li, K, Huo, Z, Zhang, Y (2022) SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things, IEEE Open Journal of the Industrial Electronics Society, 3, pp.291-303, DOI: 10.1109/ojies.2022.3172899.

Han, G, Qi, X, Peng, Y, Lin, C, Zhang, Y, Lu, Q (2022) Early Warning Obstacle Avoidance-Enabled Path Planning for Multi-AUV-Based Maritime Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, pp.1-12, ISSN: 1524-9050. DOI: 10.1109/tits.2022.3157436.

Chen, B, Zhang, E, Xia, X, Martinez-Garcia, M, Jombo, G (2022) Knowledge sharing enabled multirobot collaboration for preventive maintenance in mixed model assembly, IEEE Transactions on Industrial Informatics, 18(11), pp.8098-8107, ISSN: 1551-3203. DOI: 10.1109/TII.2022.3158978.

Huo, Z, Martinez-Garcia, M, Zhang, Y, Shu, L (2021) A Multisensor Information Fusion Method for High-Reliability Fault Diagnosis of Rotating Machinery, IEEE Transactions on Instrumentation and Measurement, 71, pp.1-12, ISSN: 0018-9456. DOI: 10.1109/tim.2021.3132051.

Casabianca, P, Zhang, E, Martinez-Garcia, M, Wan, J (2021) Vehicle destination prediction using bidirectional LSTM with attention mechanism, Sensors, 21(24), 8443, ISSN: 1424-8220. DOI: 10.3390/s21248443.

Shao, H, Li, W, Xia, M, Zhang, Y, Shen, C, Williams, D, Kennedy, A, de Silva, CW (2021) Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images, IEEE Transactions on Instrumentation and Measurement, 70, pp.1-11, ISSN: 0018-9456. DOI: 10.1109/tim.2021.3111977.

Sun, Y, Ding, W, Shu, L, Li, K, Zhang, E, Zhou, Z, Han, G (2021) On enabling mobile crowd sensing for data collection in smart agriculture: a vision, IEEE Systems Journal, 16(1), pp.132-143, ISSN: 1932-8184. DOI: 10.1109/JSYST.2021.3104107.

Han, G, Zhou, Z, Zhang, Y, Martinez-Garcia, M, Peng, Y, Xie, L (2021) Sleep-Scheduling-Based Hierarchical Data Collection Algorithm for Gliders in Underwater Acoustic Sensor Networks, IEEE Transactions on Vehicular Technology, 70(9), pp.9466-9479, ISSN: 0018-9545. DOI: 10.1109/tvt.2021.3100570.

Casabianca, P and Zhang, E (2021) Acoustic-based UAV detection using late fusion of deep neural networks, Drones, 5(3), 54, DOI: 10.3390/drones5030054.

Wang, H, Han, G, Zhang, E, Xie, L (2021) A push-based probabilistic method for source location privacy protection in underwater acoustic sensor networks, IEEE Internet of Things Journal, 9(1), pp.770-782, DOI: 10.1109/JIOT.2021.3085586.

Han, G, Liao, Z, Martinez-Garcia, M, Zhang, Y, Peng, Y (2021) Dynamic Collaborative Charging Algorithm for Mobile and Static Nodes in Industrial Internet of Things, IEEE Internet of Things Journal, 8(24), pp.17747-17761, DOI: 10.1109/jiot.2021.3082633.

Mathew, SK and Zhang, E (2020) Acoustic-based engine fault diagnosis using WPT, PCA and Bayesian optimization, Applied Sciences, 10(19), 6890, DOI: 10.3390/app10196890.

Martinez-Garcia, M, Zhang, Y, Suzuki, K, Zhang, Y-D (2020) Deep recurrent entropy adaptive model for system reliability monitoring, IEEE Transactions on Industrial Informatics, 17(2), pp.839-848, ISSN: 1551-3203. DOI: 10.1109/tii.2020.3007152.

Shao, H, Xia, M, Han, G, Zhang, E, Wan, J (2020) Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images, IEEE Transactions on Industrial Informatics, 17(5), pp.3488-3496, ISSN: 1551-3203. DOI: 10.1109/tii.2020.3005965.

Liu, Y, Ma, X, Shu, L, Yang, Q, Zhang, E, Huo, Z, Zhou, Z (2020) Internet of Things for noise mapping in smart cities: state of the art and future directions, IEEE Network, 34(4), pp.112-118, ISSN: 0890-8044. DOI: 10.1109/mnet.011.1900634.

Huo, Z, Zhang, E, Jombo, G, Shu, L (2020) Adaptive multiscale weighted permutation entropy for rolling bearing fault diagnosis, IEEE Access, 8, pp.87529-87540, DOI: 10.1109/access.2020.2992935.

Chen, B, Wan, J, Xia, M, Zhang, E (2020) Exploring equipment electrocardiogram mechanism for performance degradation monitoring in smart manufacturing, IEEE/ASME Transactions on Mechatronics, 25(5), pp.2276-2286, ISSN: 1083-4435. DOI: 10.1109/tmech.2020.2992328.

Huo, Z, Martinez-Garcia, M, Zhang, E, Yan, R, Shu, L (2020) Entropy measures in machine fault diagnosis: insights and applications, IEEE Transactions on Instrumentation and Measurement, 69(6), pp.2607-2620, ISSN: 0018-9456. DOI: 10.1109/tim.2020.2981220.

Zhang, E, Martinez-Garcia, M, Kalawsky, R, Latimer, A (2019) Grey-box modelling of the swirl characteristics in gas turbine combustion system, Measurement, 151, 107266, ISSN: 0263-2241. DOI: 10.1016/j.measurement.2019.107266.

Martinez-Garcia, M, Zhang, E, Gordon, T (2019) Memory pattern identification for feedback tracking control in human-machine systems, Human Factors, 63(2), pp.210-226, ISSN: 0018-7208. DOI: 10.1177/0018720819881008.

Huo, Z, Zhang, E, Shu, L, Gallimore, M (2019) A new bearing fault diagnosis method based on fine-to-coarse multiscale permutation entropy, Laplacian score and SVM, IEEE Access, 7, pp.17050-17066, DOI: 10.1109/access.2019.2893497.

Cruz-Manzo, S, Panov, V, Zhang, Y (2018) Gas Path Fault and Degradation Modelling in Twin-Shaft Gas Turbines, Machines, 6(4), pp.43-43, DOI: 10.3390/machines6040043.

Rossetti, D, Squartini, S, Collura, S, Zhang, Y (2018) Power plant condition monitoring by means of coal powder granulometry classification, Measurement, 123, pp.39-47, ISSN: 0263-2241. DOI: 10.1016/j.measurement.2018.03.028.

Zhang, Y, Gordon, T, Martinez-Garcia, M, Bingham, C (2018) Steering measurement decomposition for vehicle lane keeping – A study of driver behaviour, Measurement, 121, pp.26-38, ISSN: 0263-2241. DOI: 10.1016/j.measurement.2018.02.053.

Zhang, Z, Mehmood, A, Shu, L, Huo, Z, Zhang, Y, Mukherjee, M (2018) A Survey on Fault Diagnosis in Wireless Sensor Networks, IEEE Access, 6, pp.11349-11364, DOI: 10.1109/access.2018.2794519.

Zhang, Y, Bingham, C, Garlick, M, Gallimore, M (2017) Applied fault detection and diagnosis for industrial gas turbine systems, International Journal of Automation and Computing, 14(4), pp.463-473, ISSN: 1476-8186. DOI: 10.1007/s11633-016-0967-5.

Zhang, Y, Bingham, C, Martínez-García, M, Cox, D (2017) Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models, International Journal of Rotating Machinery, 2017, pp.1-9, ISSN: 1023-621X. DOI: 10.1155/2017/5435794.

Huo, Z, Zhang, Y, Francq, P, Shu, L, Huang, J (2017) Incipient Fault Diagnosis of Roller Bearing Using Optimized Wavelet Transform Based Multi-Speed Vibration Signatures, IEEE Access, 5, pp.19442-19456, DOI: 10.1109/access.2017.2661967.

Zhang, Y, Gallimore, M, Bingham, C, Chen, J, Xu, Y (2016) Hybrid Hierarchical Clustering — Piecewise Aggregate Approximation, with Applications, International Journal of Computational Intelligence and Applications, 15(04), pp.1650019-1650019, ISSN: 1469-0268. DOI: 10.1142/s146902681650019x.

Martinez-Garcia, M, Zhang, Y, Gordon, T (2016) Modeling Lane Keeping by a Hybrid Open-Closed-Loop Pulse Control Scheme, IEEE Transactions on Industrial Informatics, 12(6), pp.2256-2265, ISSN: 1551-3203. DOI: 10.1109/tii.2016.2619064.

Maleki, S, Bingham, C, Zhang, Y (2016) Development and Realization of Changepoint Analysis for the Detection of Emerging Faults on Industrial Systems, IEEE Transactions on Industrial Informatics, 12(3), pp.1180-1187, ISSN: 1551-3203. DOI: 10.1109/tii.2016.2558181.

Zhang, Q, Zhao, G, Shu, L, Qin, A, Zhang, Y (2016) Research of dimensionless index for fault diagnosis positioning based on EMD, Journal of Computers (Taiwan), 27(1), pp.62-73, ISSN: 1991-1599.

Huang, J, Chen, G, Shu, L, Wang, S, Zhang, Y (2016) An Experimental Study of Clogging Fault Diagnosis in Heat Exchangers Based on Vibration Signals, IEEE Access, 4, pp.1800-1809, DOI: 10.1109/access.2016.2555902.

Huang, J, Chen, G, Shu, L, Chen, Y, Zhang, Y (2016) Impact of Fouling on Flow-Induced Vibration Characteristics in Fluid-Conveying Pipelines, IEEE Access, 4, pp.6631-6644, DOI: 10.1109/ACCESS.2016.2617880.

Shukla, P, Lawrence, J, Zhang, Y (2015) Understanding laser beam brightness: A review and new prospective in material processing, Optics & Laser Technology, 75, pp.40-51, ISSN: 0030-3992. DOI: 10.1016/j.optlastec.2015.06.003.

Zhang, Y, Bingham, C, Yang, Z, Ling, BW-K, Gallimore, M (2014) Machine fault detection by signal denoising—with application to industrial gas turbines, Measurement, 58, pp.230-240, ISSN: 0263-2241. DOI: 10.1016/j.measurement.2014.08.020.

Zhang, Y, Bingham, CM, Gallimore, M (2013) Fault detection and diagnosis based on extensions of PCA, Advances in Military Technology, 8(2), pp.27-41, ISSN: 1802-2308.

Zhang, Y, Bingham, CM, Gallimore, M (2013) Applied sensor fault detection,identification and data reconstruction, Advances in Military Technology, 8(2), pp.13-26, ISSN: 1802-2308.

Conferences

Martinez-Garcia, M, Zhang, E, Wang, S (2022) Enhancing stochastic resonance by adaptive colored noise and particle swarm optimization: an application to steering control. In 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM); 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Sapporo, Japan, pp.1700-1705, ISBN: 9781665413084. DOI: 10.1109/AIM52237.2022.9863271.

Zhang, Y, Dora, S, Martinez-Garcia, M, Bhattacharyaand, S (2022) Machine Hearing for Industrial Acoustic Monitoring using Cochleagram and Spiking Neural Network. In 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). DOI: 10.1109/aim52237.2022.9863412.

Meyers, G, Martínez-García, M, Zhang, Y, Zhang, Y (2021) Reliable Real-time Destination Prediction. In , IEEE International Conference on Industrial Informatics (INDIN),ISBN: 9781728143958. DOI: 10.1109/INDIN45523.2021.9557585.

Zhang, E and Martinez-Garcia, M (2020) Machine hearing for industrial fault diagnosis. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE); 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Hong Kong, China (Online), pp.849-854, ISBN: 9781728169040. DOI: 10.1109/case48305.2020.9216787.

Huo, Z, Zhang, E, Shu, L, Liao, X (2019) Edge permutation entropy: an improved entropy measure for time-series analysis. In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, pp.5998-6003, ISBN: 9781728148786. DOI: 10.1109/IECON.2019.8927449.

Zhang, E, Martinez-Garcia, M, Serrano-Cruz, JR, Latimer, A (2019) Multi-region system modelling by using genetic programming to extract rule consequent functions in a TSK fuzzy system. In 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM); 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), Toyonaka, Japan, pp.987-992, ISBN: 9781728100647. DOI: 10.1109/icarm.2019.8834163.

Martinez-Garcia, M, Zhang, Y, Wan, J, McGinty, J (2019) Visually Interpretable Profile Extraction with an Autoencoder for Health Monitoring of Industrial Systems. In 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM). DOI: 10.1109/icarm.2019.8834281.

Martinez-Garcia, M, Zhang, Y, Suzuki, K, Zhang, Y (2019) Measuring System Entropy with a Deep Recurrent Neural Network Model. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Helsinki, Finland. DOI: 10.1109/indin41052.2019.8972068.

Zhang, E, Martinez-Garcia, M, Gordon, T (2019) Human response delay estimation and monitoring using gamma distribution analysis. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC); 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, pp.807-812, ISBN: 9781538666500. DOI: 10.1109/smc.2018.00145.

Yang, F, Shu, L, Liu, Y, Li, K, Huang, K, Zhang, Y, Sun, Y (2019) Poster: Photovoltaic agricultural internet of things-the next generation of smart farming. In , International Conference on Embedded Wireless Systems and Networks, pp.236-237, ISBN: 9780994988638.

Huo, Z, Zhang, Y, Shu, L (2018) Fine-to-Coarse Multiscale Permutation Entropy for Rolling Bearing Fault Diagnosis. In , 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, pp.660-665, ISBN: 9781538620700. DOI: 10.1109/IWCMC.2018.8450525.

Huo, Z, Zhang, Y, Shu, L, Lv, Y, Lin, S (2018) Bearing Fault Diagnosis using Multi-sensor Fusion based on weighted D-S Evidence Theory. In , Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika, ME 2018,ISBN: 9788021455443.

Zhang, Y, Martínez-García, M, Latimer, A (2018) Selecting Optimal Features for Cross-Fleet Analysis and Fault Diagnosis of Industrial Gas Turbines. In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy. DOI: 10.1115/gt2018-75286.

Zhang, Y, Jombo, G, Latimer, A (2018) A Knowledge Transfer Platform for Fault Diagnosis of Industrial Gas Turbines. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). DOI: 10.1109/ines.2018.8523864.

Huo, Z, Zhang, Y, Zhou, Z, Huang, J (2018) Crack detection in rotating shafts using wavelet analysis, shannon entropy and multi-class SVM. In , Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp.332-346, ISBN: 9783319741758. DOI: 10.1007/978-3-319-74176-5_29.

Jombo, G, Zhang, Y, Griffiths, JD (2018) Automated gas turbine sensor fault diagnostics. In , Proceedings of the ASME Turbo Expo,ISBN: 9780791851128. DOI: 10.1115/GT2018-75229.

Cruz-Manzo, S, Maleki, S, Panov, V, Agbonzikilo, F, Zhang, Y, Latimer, A (2018) Analysis of performance of a twin-shaft gas turbine during hot-end damage in the gas generator turbine. In , Proceedings of the ASME Turbo Expo,ISBN: 9780791851128. DOI: 10.1115/GT2018-75374.

Huo, Z, Zhang, Y, Shu, L (2018) A short survey on fault diagnosis of rotating machinery using entropy techniques. In , Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp.279-284, ISBN: 9783319741758. DOI: 10.1007/978-3-319-74176-5_24.

Zhang, Z, Shu, L, Mehmood, A, Yan, L, Zhang, Y (2018) A Short Survey on Fault Diagnosis in Wireless Sensor Networks. In , Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp.21-26, ISBN: 9783319729978. DOI: 10.1007/978-3-319-72998-5_3.

Zhang, X, Shu, L, Huo, Z, Mukherjee, M, Zhang, Y (2018) A Short Review of Constructing Noise Map Using Crowdsensing Technology. In , Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp.37-43, ISBN: 9783030009151. DOI: 10.1007/978-3-030-00916-8_4.

Jombo, G, Zhang, Y, David Griffiths, J, Latimer, T (2017) Towards an automated system for industrial gas turbine acceptance testing. In , Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp.4746-4751, ISBN: 9781538611272. DOI: 10.1109/IECON.2017.8216818.

Clifford, TA, Cruz-Manzo, S, Zhang, Y, Panov, V, Latimer, A (2017) Development of a steady-state thermodynamic model in microsoft excel for performance analysis of industrial gas turbines. In , Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp.4717-4723, ISBN: 9781538611272. DOI: 10.1109/IECON.2017.8216813.

Huo, Z, Zhang, Y, Shu, L (2017) A comparative study of WPD and EMD for shaft fault diagnosis. In , Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pp.8441-8446, ISBN: 9781538611272. DOI: 10.1109/IECON.2017.8217482.

Huo, Z, Zhang, Y, Sath, R, Shu, L (2017) Self-adaptive fault diagnosis of roller bearings using infrared thermal images. In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. DOI: 10.1109/iecon.2017.8217062.

Zhang, Y, Martinez-Garcia, M, Latimer, A (2017) Estimating gas turbine compressor discharge temperature using Bayesian neuro-fuzzy modelling. In 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). DOI: 10.1109/smc.2017.8123194.

Cruz-Manzo, S, Maleki, S, Zhang, Y, Panov, V, Latimer, A (2017) Performance analysis of a twin shaft Industrial Gas Turbine at fouling conditions. In , 2017 IEEE International Conference on Prognostics and Health Management, ICPHM 2017, pp.234-238, ISBN: 9781509057108. DOI: 10.1109/ICPHM.2017.7998334.

Grebenik, J, Zhang, Y, Bingham, C, Srivastava, S (2017) Roller element bearing acoustic fault detection using smartphone and consumer microphones comparing with vibration techniques. In , Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016,ISBN: 9788001058831.

Rossetti, D, Squartini, S, Collura, S, Zhang, Y (2017) Exploiting heterogeneous data for the estimation of particles size distribution in industrial plant. In , Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016,ISBN: 9788001058831.

Rossetti, D, Zhang, Y, Squartini, S, Collura, S (2017) Classification of bearing faults through time-frequency analysis and image processing. In , Proceedings of the 2016 17th International Conference on Mechatronics - Mechatronika, ME 2016,ISBN: 9788001058831.

Zhang, Y, Martínez-García, M, Garlick, M, Latimer, A, Cruz-Manzo, S (2017) Condition monitoring of combustion system on industrial gas turbines based on trend and noise analysis. In , Proceedings of the ASME Turbo Expo,ISBN: 9780791850916. DOI: 10.1115/GT201764288.

Cruz-Manzo, S, Panov, V, Zhang, Y, Latimer, A, Agbonzikilo, F (2017) A thermodynamic transient model for performance analysis of a twin shaft industrial gas turbine. In , Proceedings of the ASME Turbo Expo,ISBN: 9780791850916. DOI: 10.1115/GT201764376.

Zhang, Y, Cruz-Manzo, S, Latimer, A (2016) Start-up vibration analysis for novelty detection on industrial gas turbines. In 2016 International Symposium on Industrial Electronics (INDEL). DOI: 10.1109/indel.2016.7797800.

Zhang, Y, Chen, J, Bingham, C, Gordon, T (2015) Variational Bayesian modified adaptive mamdani fuzzy modelling for use in condition monitoring. In , 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015,ISBN: 9781479960910. DOI: 10.1109/CIVEMSA.2015.7158608.

Gordon, T and Zhang, Y (2015) Steering pulse model for vehicle lane keeping. In , 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015,ISBN: 9781479960910. DOI: 10.1109/CIVEMSA.2015.7158601.

Zhang, Y, Bingham, C, Gallimore, M, Maleki, S (2015) Operational pattern analysis for predictive maintenance scheduling of industrial systems. In , 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015,ISBN: 9781479960910. DOI: 10.1109/CIVEMSA.2015.7158599.

Zhang, Y, Bingham, C, Gallimore, M, Cox, D (2015) Novelty detection based on extensions of GMMs for industrial gas turbines. In , 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015,ISBN: 9781479960910. DOI: 10.1109/CIVEMSA.2015.7158591.

Zhang, Y, Chen, J, Bingham, C, Mahfouf, M (2014) A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines. In , IEEE International Conference on Fuzzy Systems, pp.1599-1603, ISBN: 9781479920723. DOI: 10.1109/FUZZ-IEEE.2014.6891815.

Zhang, Y and Gordon, T (2014) Decomposition of steering angle measurements inspired by pulse control model for lane keeping. In , Proceedings of the 16th International Conference on Mechatronics, Mechatronika 2014, pp.216-221, ISBN: 9788021448162. DOI: 10.1109/MECHATRONIKA.2014.7018261.

Zhang, Y, Bingham, C, Gallimore, M, Chen, J (2013) Steady-state and transient operation discrimination by Variational Bayesian Gaussian Mixture Models. In , IEEE International Workshop on Machine Learning for Signal Processing, MLSP,ISBN: 9781479911806. DOI: 10.1109/MLSP.2013.6661970.

Zhang, Y, Bingham, C, Gallimore, M, Yang, Z, Chen, J (2013) Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation. In , 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - Proceedings, pp.116-121, ISBN: 9781467347013. DOI: 10.1109/CIVEMSA.2013.6617406.

Zhang, Y, Bingham, C, Gallimore, M, Yang, Z, Chen, J (2013) Machine fault detection during transient operation using measurement denoising. In , 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - Proceedings, pp.110-115, ISBN: 9781467347013. DOI: 10.1109/CIVEMSA.2013.6617405.

Zhang, Y, Bingham, CM, Gallimore, M, Yang, Z, Chen, J (2012) Sensor fault detection for industrial systems using a hierarchical clustering-based graphical user interface. In , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp.389-394, ISBN: 9781467325110. DOI: 10.1109/MFI.2012.6343071.

Zhang, Y, Bingham, CM, Gallimore, M, Yang, Z, Chen, J (2012) Applied sensor fault detection and validation using transposed input data PCA and ANNs. In , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp.269-274, ISBN: 9781467325110. DOI: 10.1109/MFI.2012.6343055.

Zhang, Y, Bingham, C, Gallimore, M, Yang, Z, Stewart, J (2012) Fault detection and diagnosis based on Y-indices and Residual Errors. In , Proceedings of 15th International Conference on Mechatronics, MECHATRONIKA 2012,ISBN: 9788001049877.

Zhang, Y, Bingham, C, Yang, Z, Gallimore, M, Stewart, P (2012) Applied sensor fault detection and identification using hierarchical clustering and SOMNNs, with faulted-signal reconstruction. In , Proceedings of 15th International Conference on Mechatronics, MECHATRONIKA 2012,ISBN: 9788001049877.

Yang, Z, Bingham, C, Ling, BWK, Gallimore, M, Stewart, P, Zhang, Y (2012) Trend extraction based on Hilbert-Huang transform. In , Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012,ISBN: 9781457714733. DOI: 10.1109/CSNDSP.2012.6292713.

Zhang, Y, Bingham, CM, Yang, Z, Gallimore, M, Ling, WK (2012) Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes. In , Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012,ISBN: 9781457714733. DOI: 10.1109/CSNDSP.2012.6292687.

Yang, Z, Bingham, C, Ling, WK, Zhang, Y, Gallimore, M, Stewart, J (2012) Unit operational pattern analysis and forecasting using EMD and SSA for industrial systems. In , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.416-423, ISBN: 9783642341557. DOI: 10.1007/978-3-642-34156-4_38.