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基于时频分析和模式识别的惯性器件故障监测与诊断技术研究
Fault monitoring and diagnosis of inertial apparatus based on time-frequency analysis pattern recognition
【摘要】 利用时频分布检测信号的基本原理,提出了一种基于PMH分布和模式识别的惯性器件故障监测与诊断方法。实验表明本文所提出的方法能够辨识出惯性器件的故障类型,并且能够实现状态监测和故障分离。该方法在工程实际中具有很好的实用性。
【Abstract】 The basic principle of detecting signal with time-frequency distribution is briefly presented.Then a method based on the Pseudo-Margenau-Hill Distribution(PMHD)and the Pattern Recognition(PR) is put forward for fault monitoring and diagnosis of the inertial apparatus.Result: The experimental result shows that the method can implement fault type identification of the inertial apparatus,and realize status monitoring and fault isolation.Conclusion: This method is very useful in engineering.
【关键词】 时频分布;
惯性器件;
故障检测与诊断;
PMH分布;
模式识别;
【Key words】 time-frequency distribution; inertial apparatus; fault monitoring and diagnosis; PMH distribution; pattern recognition;
【Key words】 time-frequency distribution; inertial apparatus; fault monitoring and diagnosis; PMH distribution; pattern recognition;
- 【文献出处】 电光与控制 ,Electronics Optics & Control , 编辑部邮箱 ,2006年02期
- 【分类号】TP274.4
- 【被引频次】5
- 【下载频次】154