Liu Boya, Bi Xiaowen, Gu Lijuan, Wei Jie, Liu Baozhong
Radar Faculty, Ordnance NCO Academy, Army Engineering University of PLA, Wuhan 430075, China.
Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430073, China.
Sensors (Basel). 2022 Aug 25;22(17):6396. doi: 10.3390/s22176396.
A radar is an important part of an air defense and combat system. It is of great significance to military defense to improve the effectiveness of radar state monitoring and the accuracy of fault diagnosis during operation. However, the complexity of radar equipment's structure and the uncertainty of the operating environment greatly increase the difficulty of fault diagnosis in real life situations. Therefore, a Bayesian network diagnosis method based on multi-source information fusion technology is proposed to solve the fault diagnosis problems caused by uncertain factors such as the high integration and complexity of the system during the process of fault diagnosis. Taking a fault of a radar receiver as an example, we study 2 typical fault phenomena and 21 fault points. After acquiring and processing multi-source information, establishing a Bayesian network model, determining conditional probability tables (CPTs), and finally outputting the diagnosis results. The results are convincing and consistent with reality, which verifies the effectiveness of this method for fault diagnosis in radar receivers. It realizes device-level fault diagnosis, which shortens the maintenance time for radars and improves the reliability and maintainability of radars. Our results have significance as a guide for judging the fault location of radars and predicting the vulnerable components of radars.
雷达是防空和作战系统的重要组成部分。在运行过程中提高雷达状态监测的有效性和故障诊断的准确性对军事防御具有重要意义。然而，雷达设备结构的复杂性和运行环境的不确定性大大增加了实际情况下故障诊断的难度。因此，提出一种基于多源信息融合技术的贝叶斯网络诊断方法，以解决故障诊断过程中由于系统高度集成和复杂等不确定因素导致的故障诊断问题。以雷达接收机的一个故障为例，研究了2种典型故障现象和21个故障点。在获取和处理多源信息后，建立贝叶斯网络模型，确定条件概率表（CPT），最后输出诊断结果。结果令人信服且与实际相符，验证了该方法在雷达接收机故障诊断中的有效性。它实现了设备级故障诊断，缩短了雷达的维修时间，提高了雷达的可靠性和可维护性。我们的结果对于判断雷达的故障位置和预测雷达的易损部件具有指导意义。
