187
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Closed-loop intermittent sensor fault detection for linear stochastic time-delay systems with unknown disturbances

, ORCID Icon &
Pages 2827-2838 | Received 24 Apr 2021, Accepted 19 Aug 2022, Published online: 02 Sep 2022

References

  • Chen, J., & Patton, R. (2009). Robust model-based fault diagnosis for dynamic systems. National Defense Industry Press.
  • Chen, M., Xu, G., Yan, R. Y., Ding, S. X., & Zhou, D. H. (2015). Detecting scalar intermittent faults in linear stochastic dynamic systems. International Journal of Systems Science, 46(8), 1337–1348. http://doi.org/10.1080/00207721.2013.809612
  • Chen, T. R., Wang, C., Chen, G., Dong, Z., & Hill, D. (2019). Small fault detection for a class of closed-loop systems via deterministic learning. IEEE Transactions on Cybernetics, 49(3), 897–906. https://doi.org/10.1109/TCYB.6221036
  • Gao, M., Yang, S., Sheng, L., & Zhou, D. H. (2019). Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing, 346, 65–72. https://doi.org/10.1016/j.neucom.2018.08.087
  • Gao, X. W., Liu, X. H., & Han, J. (2017). Reduced order unknown input observer based distributed fault detection for multi-agent systems. Journal of the Franklin Institute, 354(3), 1464–1483. https://doi.org/10.1016/j.jfranklin.2016.11.032
  • Garcia-Entrambasaguas, P., Gonzalez-Prieto, I., & Duran, M. J. (2020). Single-index open-phase fault detection method for six-phase electric drives. IEEE Transactions on Industrial Electronics, 67(12), 10233–10242. https://doi.org/10.1109/TIE.41
  • He, X., Wang, Z. D., Liu, Y., Qin, L. G., & Zhou, D. H. (2017). Fault-tolerant control for an internet-based three-tank system: Accommodation to sensor bias faults. IEEE Transactions on Industrial Electronics, 64(3), 2266–2275. https://doi.org/10.1109/TIE.2016.2623582
  • He, X., Wang, Z. D., Qin, L. G., & Zhou, D. H. (2016). Active fault-tolerant control for an internet-based networked three-tank system. IEEE Transactions on Control Systems Technology, 24(6), 2150–2157. https://doi.org/10.1109/TCST.2016.2524595
  • Islam, S. I., Lim, C. C., & Shi, P. (2020). Robust fault detection of T-S fuzzy systems with time-delay using fuzzy functional observer. Fuzzy Sets and Systems, 392, 1–23. https://doi.org/10.1016/j.fss.2019.03.020
  • Li, J., & Wu, C. Y. (2020). Finite-time robust fault detection filter design for interconnected systems concerning with packet dropouts and changing structures. International Journal of Control, 93(4), 832–843. https://doi.org/10.1080/00207179.2018.1487081
  • Li, Z., & Li, X. S. (2018). Fault detection in the closed-loop system using one-class support vector machine. In Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference (pp. 251–255). IEEE.
  • Lin, W. J., He, Y., Zhang, C. K., Wang, L. M., & Wu, M. (2020). Event-triggered fault detection filter design for discrete-time memristive neural networks with time delays. IEEE Transactions on Cybernetics, 52(5), 3359–3369. https://doi.org/10.1109/TCYB.2020.3011527
  • Liu, Y., Wang, Z. D., He, X., & Zhou, D. H. (2017). A class of observer-based fault diagnosis schemes under closed-loop control: performance evaluation and improvement. IET Control Theory and Applications, 11(1), 135–141. https://doi.org/10.1049/cth2.v11.1
  • Liu, Y., Wang, Z. D., & Zhou, D. H. (2018). Quantised polynomial filtering for nonlinear systems with missing measurements. International Journal of Control, 91(10), 2250–2260. https://doi.org/10.1080/00207179.2017.1337933
  • Niu, Y., Sheng, L., Gao, M., & Zhou, D. H. (2022). Distributed intermittent fault detection for linear stochastic systems over sensor networks. IEEE Transactions on Cybernetics, 52(9), 9208–9218.
  • Plakias, S., & Boutalis, Y. S. (2020). Fault detection and identification of rolling element bearings with attentive dense CNN. Neurocomputing, 405, 208–217. https://doi.org/10.1016/j.neucom.2020.04.143
  • Sedighi, T., Foote, P. D., & Sydor, P. (2017). Feed-forward observer-based intermittent fault detection. CIRP Journal of Manufacturing Science and Technology, 17, 10–17. https://doi.org/10.1016/j.cirpj.2016.08.004
  • Shi, Y. L., & Peng, X. Y. (2020). Fault detection filters design of polytopic uncertain discrete-time singular Markovian jump systems with time-varying delays. Journal of the Franklin Institute, 357(11), 7343–7367. https://doi.org/10.1016/j.jfranklin.2020.04.058
  • Song, H., Han, P. Q., Zhang, J. X., & Zhang, C. H. (2018). Fault diagnosis method for closed-loop satellite attitude control systems based on a fuzzy parity equation. International Journal of Distributed Sensor Networks, 14(10), https://doi.org/10.1177/1550147718805938.
  • Song, S. Y., Hu, J., Chen, D. Y., Chen, W. L., & Wu, Z. H. (2020). An event-triggered approach to robust fault detection for nonlinear uncertain Markovian jump systems with time-varying delays. Circuits, Systems, and Signal Processing, 39(7), 3445–3469. https://doi.org/10.1007/s00034-019-01327-3
  • Tran, H. M., & Trinh, H. (2019). Distributed functional observer based fault detection for interconnected time-delay systems. IEEE Systems Journal, 13(1), 940–951. https://doi.org/10.1109/JSYST.2017.2759257
  • Xue, T., Zhong, M. Y., Li, L. L., & Ding, S. X. (2020). An optimal data-driven approach to distribution independent fault detection. IEEE Transactions on Industrial Informatics, 16(11), 6826–6836. https://doi.org/10.1109/TII.9424
  • Yan, R. Y., He, X., Wang, Z. D., & Zhou, D. H. (2018). Detection, isolation and diagnosability analysis of intermittent faults in stochastic systems. International Journal of Control, 91(2), 480–494. https://doi.org/10.1080/00207179.2017.1286039
  • Yan, R. Y., He, X., & Zhou, D. H. (2016). Detecting intermittent sensor faults for linear stochastic systems subject to unknown disturbance. Journal of the Franklin Institute, 353(17), 4734–4753. https://doi.org/10.1016/j.jfranklin.2016.09.001
  • Zhang, J., Christofides, P. D., He, X., Wu, Z., Zhao, Y. H., & Zhou, D. H. (2020). Robust detection of intermittent sensor faults in stochastic LTV systems. Neurocomputing, 388, 181–187. https://doi.org/10.1016/j.neucom.2019.12.111
  • Zhang, J. T., Yuan, C. Z., Stegagno, P., Zeng, W., & Wang, C. (2019). Small fault detection from discrete-time closed-loop control using fault dynamics residuals. Neurocomputing, 365, 239–248. https://doi.org/10.1016/j.neucom.2019.07.037
  • Zhang, K., Staroswiecki, M., & Jiang, B. (2012). Reduced-order observer-based fault estimation design for multiple input-multiple output discrete-time systems. Proceeding of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, 226(1), 101–110. http://doi.org/10.1177/0959651811406978
  • Zhang, S., Sheng, L., Gao, M., & Zhou, D. H. (2020). Intermittent fault detection for discrete-time linear stochastic systems with time delay. IET Control Theory and Applications, 14(3), 511–518. https://doi.org/10.1049/cth2.v14.3
  • Zhang, X. M., Zhu, F. L., & Guo, S. H. (2020). Actuator fault detection for uncertain systems based on the combination of the interval observer and asymptotical reduced-order observer. International Journal of Control, 93(11), 2653–2661. https://doi.org/10.1080/00207179.2019.1620329
  • Zhang, Y., Wang, Z. D., & Alsaadi, F. E. (2020). Detection of intermittent faults for nonuniformly sampled multi-rate systems with dynamic quantisation and missing measurements. International Journal of Control, 93(4), 898–909. https://doi.org/10.1080/00207179.2018.1487083
  • Zhao, Y. H., He, X., Pecht, M. G., Zhang, J. F., & Zhou, D. H. (2020). Detection and detectability of intermittent faults based on moving average T2 control charts with multiple window lengths. Journal of Process Control, 92, 296–309. https://doi.org/10.1016/j.jprocont.2020.07.002
  • Zhao, Y. H., He, X., Zhang, J. F., Ji, H. Q., & Zhou, D. H. (2021). Detection of intermittent faults based on an optimally weighted moving average T2 control chart with stationary observations. Automatica, 123, 109298, 15 pages. https://doi.org/10.1016/j.automatica.2020.109298
  • Zhong, W., & Xin, C. (2019). Fault detection of UAV fault based on a SFUKF. In 2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering. Iop Conference. https://doi.org/10.1088/1757-899X/563/5/052099
  • Zhou, D. H., Zhao, Y. H., Wang, Z. D., He, X., & Gao, M. (2020). Review on diagnosis techniques for intermittent faults in dynamic systems. IEEE Transactions on Industrial Electronics, 67(3), 2337–2347. https://doi.org/10.1109/TIE.41

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.