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

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。

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.