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.

中文翻译：

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基于模糊综合CS-SVR模型的雷达健康状态评估。

模糊综合CS-SVR模型（FCCS-SVR）的目的是评估和监视雷达设备的健康状况，然后保持其安全运行。由于样本量少，变化缓慢，故障监测信号数据的非线性结构等原因，雷达系统的健康状态评估十分困难。通过建立雷达评价指标体系，研究了层次分析法和熵权法的结合。为了评估健康状态的价值，使用了包括PSO，GA，BA和CS在内的几种优化算法来优化SVR模型的参数。同时，为了避免系统处于状态边缘的问题，提出了一种基于模糊综合评价与布谷鸟搜索支持向量回归（CS-SVR）相结合的雷达健康评估方法，即模糊综合CS-SVR（FCCS-SVR）。案例分析结果表明，该雷达系统的状态评估得以实现。系统性能分析表明，使用FCCS-SVR评估方法具有较高的识别率，可以准确评估雷达系统的健康状况。