基于频域时空特征谱的信息故障诊断方法

目前振动信号的分析主要是针对特定测点在某一瞬间采集的一段振动波形，提取其中的特征量来进行诊断故障，这种基于状态信息的诊断方法对故障类型的辨别能力有限。基于多个振动波形状态的过程信息，提出和定义了两种基于过程信息融合的信息火用指标，用于反映同一个过程中不同状态间的过程变化规律以及不同过程中对应状态间的过程变化规律。在此基础上，提出了一种基于频域时空特征谱的旋转机械信息火用故障诊断方法，并通过该方法对试验台获取的振动故障信号进行分析。计算结果表明，该方法是一种有效的故障诊断方法。

Fault Diagnosis Method of Information Exergy Based on Space-Time Feature Spectrum in Frequency Domain

At present, vibration signal analysis is a foundation of fault diagnosis. The most widely used method is to analyze the characteristic quantities extracted from an original vibration waveform of a particular measuring point at a particular moment, but it lacks abilities in fault classification. Based on the information fusion process, two kinds of information exergy indicators are proposed and defined to represent the change rule between different states in the same process and the rule of corresponding state changes in different processes. On this basis, a fault diagnosis method of information exergy of rotating machinery is proposed that is based on the space time feature spectrum in the frequency domain. This method has been used to analyze vibration signals and diagnose faults of a rotor test platform. The numeric results indicate that it is an effective fault diagnosis method.