基于小波包能量熵的电动振动台故障诊断方法

Equipment of Vibration Fault Diagnosis Techniques Using Wavelet Packet Entropy

为了对电动振动台的等设备的故障状态进行有效的诊断,提出了一种基于小波包能量熵的电动振动台故障诊断方法。首先,对振动台不同运行状态数据进行小波包分解,计算每个频带上的相对能量并求和;然后,根据小波包能量熵的概念计算其小波包能量熵;最后,根据不同状态下小波包能量熵的不同判定不同的故障状态。研究结果表明:小波包能量熵是一种描述设备健康状态的优良指标,可以实现对振动台的故障状态诊断;进而实现对不同故障状态定位的效果。

In order to get an accurate diagnosis of vibration equipment parts failure. An method based on wavelet packet entropy vibration equipment fault diagnosis is put forward. In the frst, orthogonal wavelet packet to disassemble various failure state of vibration equipment should be used, and calculates othe relative energy of each frequency band. Then calculates the wavelet packet entropy. Finally, acrossing to the different wavelet packet entropy to determine failure type. The research results show： the wavelet packet entropy is a good parameter to diagnosis the failure type of the vibration equipments.