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Sensor Fault Diagnosis and Tolerant Control Based on Belief Rule Base for Complex System

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Abstract

This paper develops a new fault diagnosis and tolerant control framework of sensor failure (SFDTC) for complex system such as rockets and missiles. The new framework aims to solve two problems: The lack of data and the multiple uncertainty of knowledge. In the SFDTC framework, two parts exist: The fault diagnosis model and the output reconstruction model. These two parts of the new framework are constructed based on the new developed belief rule base with power set (BRB-PS). The multiple uncertainty of knowledge can be addressed by the local ignorance and global ignorance in the new developed BRB-PS model. Then, the stability of the developed framework is proved by the output error of the BRB-PS model. For complex system, the sensor state is determined by many factors and experts cannot provide accurate knowledge. The multiple uncertain knowledge will reduce the performance of the initial SDFTC framework. Therefore, in the SFDTC framework, to handle the influence of the uncertainty of expert knowledge and improve the framework performance, a new optimization model with two optimization goals is developed to ensure the smallest output uncertainty and the highest accuracy simultaneously. A case study is conducted to illustrate the effectiveness of the developed framework.

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Authors and Affiliations

  1. Rocket Force University of Engineering, Xi’an, 710025, China

    Zhichao Feng & Zhijie Zhou

  2. Harbin Institute of Technology, Harbin, 150001, China

    Xiaojun Ban

  3. Rocket Force University of Engineering, Xi’an, 710025, China

    Changhua Hu & Xiaobo Zhang

Authors
  1. Zhichao Feng
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  2. Zhijie Zhou
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  3. Xiaojun Ban
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  4. Changhua Hu
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  5. Xiaobo Zhang
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Corresponding author

Correspondence to Zhichao Feng.

Additional information

This work was supported in part by the Natural Science Foundation of China under Grant Nos. 61370031, 61374138, 61973046, 61833013, 61773389 and 71601168, the Fundamental Research Funds for the Central Universities under Grant No. D5000210690, the Shaanxi Outstanding Youth Science Foundation under Grant No. 2020JC-34 and the Natural Science Foundation of Shaanxi Province under Grant Nos. 2020JM-357, 2022JQ-580, 2021KJXX-22 and 2020JQ-298.

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Feng, Z., Zhou, Z., Ban, X. et al. Sensor Fault Diagnosis and Tolerant Control Based on Belief Rule Base for Complex System. J Syst Sci Complex 36, 1002–1023 (2023). https://doi.org/10.1007/s11424-023-1135-y

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  • DOI: https://doi.org/10.1007/s11424-023-1135-y

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