基于振动相关信息融合的行星齿轮传动系统故障诊断

FAULT DIAGNOSIS OF PLANETARY GEAR TRANSMISSION SYSTEM BASED ON VIBRATION RELEVANT INFORMATION FUSION

针对不同测点的信息对故障敏感度不同、各测点的振动传递使故障与测点具有关联性等特点,提出基于振动相关信息融合的故障诊断模型。分别获取正常和5种故障状态在3个测点下振动信号的小波包能量特征向量;计算同一测点不同状态信号的能量特征相关系数及不同测点相同状态信号的能量特征相关系数。通过分析这两类信息所呈现的特性建立故障诊断模型。用14组待检信号进行故障诊断模型的实例分析,其诊断结果与实际故障状态完全一致。用支持向量机方法对5种故障状态进行分类,得到的结果与实际故障状态一致,验证了所建立的故障诊断模型的正确性。分析结果表明,通过振动相关信息融合建立的故障诊断模型能有效反映出不同故障状态的特性,能准确诊断出复杂行星齿轮传动系统的微弱及耦合故障。

Considering the facts that different measurement point information provide different sensitivity degree and vibration transmission make fault relate to each measuring point, the fault diagnosis model of vibration relevant information fusion were put forward. The method is to obtain the eigenvector of wavelet packet signal energy about the normal and 5 different fault states under 3 measuring points. The correlation coefficient of the energy characteristics were calculated for the same measuring point in different states and for different measuring points in the same state. By analyzing the characteristics of these two types of fusion information, the fault diagnosis model was established. In addition, the fault diagnosis model was inspected with 14 groups of signals to be detected, and the results were exactly consistent with the actual fault states. The support vector machine method was adopted to realize classification of 5 different fault states. The outcome was consistent with the actual fault states and it verifies the correctness of the established model of fault diagnosis. Analysis results show that the fault diagnosis model was established through the vibration relevant information fusion, and the model can reflect the characteristics of different fault states. By the model, the weak and the coupling fault were effectively diagnosed for complex gear transmission system.