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A Fuzzy Comprehensive CS-SVR Model-based health status evaluation of radar

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  • Yifei Yang
  • Maohui Zhang
  • Yuewei Dai

Abstract

The purpose of Fuzzy Comprehensive CS-SVR Model (FCCS-SVR) is to evaluate and monitor the health status of a radar equipment and then keep its safe operation. Due to reasons such as few samples, slow changes and the nonlinear structure of data of fault monitoring signal, the health status evaluation of a radar system is quite difficult. By establishing the evaluation index system of a radar, the combination of AHP method and Entropy weight method is studied in this paper. In order to evaluate the value of health status, several optimization algorithms including PSO, GA, BA and CS are used for optimizing the parameters of SVR model. Meanwhile, in order to avoid the problem that the system is at the edge of the state, a radar health assessment method based on the combination of Fuzzy Comprehensive Evaluation and Cuckoo Search-Support Vector Regression (CS-SVR), which is named as Fuzzy Comprehensive CS-SVR (FCCS-SVR), is further proposed. The result of case analysis reflects that the state evaluation of the radar system is realized. The system performance analysis shows that the use of FCCS-SVR evaluation method provides a high recognition rate and can accurately assess the health status of the radar system.

Suggested Citation

  • Yifei Yang & Maohui Zhang & Yuewei Dai, 2019. "A Fuzzy Comprehensive CS-SVR Model-based health status evaluation of radar," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-20, March.
    • Handle: RePEc:plo:pone00:0213833
    DOI: 10.1371/journal.pone.0213833
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    Cited by:

    1. Jin, Yuxue & Geng, Jie & Lv, Chuan & Chi, Ying & Zhao, Tingdi, 2023. "A methodology for equipment condition simulation and maintenance threshold optimization oriented to the influence of multiple events," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

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