Development of a Sound and Vibration Signals Pattern Technique for Rotating Machinery Fault Diagnosis

In this paper, a technique of fault diagnosis in machinery based on the sound and vibration signals visual dot pattern is presented. Sound and vibration signals are well known as being able to be used for monitoring the conditions of rotating machineries. Most of the conventional methods for fault diagnosis using sound and vibration signals are primarily based on observing the amplitude differences in the time or frequency domain. Unfortunately, the signals caused by damaged elements, such as those buried in broadband background noise or from smearing problems arising in practical applications, particularly at low revolution, are not always available. In the present study, a visual dot pattern technique is proposed to identify the acoustic emission and vibration signals for fault diagnosis in an internal combustion engine and drive axle shaft. Experiments are carried out to evaluate the proposed system for fault diagnosis under various fault conditions. The experimental results indicate that the proposed technique is effective in the fault diagnosis of an internal combustion engine and drive axle shaft.

並列關鍵字

Fault diagnosis ； Visual dot pattern ； sound and vibration signals ； Drive axle shaft

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