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International journal of systems science. 2017;5(1):70-96. doi: 10.1080/21642583.2016.1278410 Q24.92024

Improved Sensor Fault Detection, Isolation, and Mitigation Using Multiple Observers Approach

基于多观测器方法的传感器故障检测、隔离与抑制研究 翻译改进

Zheng Wang  1, D M Anand  2, J Moyne  1, D M Tilbury  1

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作者单位

  • 1 Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • 2 Software and Systems Divison, National Institute of Standards and Technology, Gaithersburg, MD, USA.
  • DOI: 10.1080/21642583.2016.1278410 PMID: 28924303

    摘要 Ai翻译

    Traditional Fault Detection and Isolation (FDI) methods analyze a residual signal to detect and isolate sensor faults. The residual signal is the difference between the sensor measurements and the estimated outputs of the system based on an observer. The traditional residual-based FDI methods, however, have some limitations. First, they require that the observer has reached its steady state. In addition, residual-based methods may not detect some sensor faults, such as faults on critical sensors that result in an unobservable system. Furthermore, the system may be in jeopardy if actions required for mitigating the impact of the faulty sensors are not taken before the faulty sensors are identified. The contribution of this paper is to propose three new methods to address these limitations. Faults that occur during the observers' transient state can be detected by analyzing the convergence rate of the estimation error. Open-loop observers, which do not rely on sensor information, are used to detect faults on critical sensors. By switching among different observers, we can potentially mitigate the impact of the faulty sensor during the FDI process. These three methods are systematically integrated with a previously developed residual-based method to provide an improved FDI and mitigation capability framework. The overall approach is validated mathematically, and the effectiveness of the overall approach is demonstrated through simulation on a 5-state suspension system.

    Keywords: dedicated observer scheme; fault detection and isolation; fault diagnosis; fault mitigation.

    Keywords:sensor fault detection; multiple observers approach; isolation; mitigation

    Copyright © International journal of systems science. 中文内容为AI机器翻译,仅供参考!

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    期刊名:International journal of systems science

    缩写:INT J SYST SCI

    ISSN:0020-7721

    e-ISSN:1464-5319

    IF/分区:4.9/Q2

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