| Summary: | 碩士 === 中原大學 === 機械工程學系 === 88 === The vibrational signature in the process of machine operating is the important signature of the fault diagnosis. It will respond to the condition of the machine operating. Even the most accurate machine will vibrate when operating. The addition of vibration was brought by faulty.
Ball bearings are the important element in the rotatory machine. It can decrease the friction, hold rotatory elements, and aid get load. Rotating machines should be kept in good condition, during operation in high speed. When the elements of the machine failed, vibrations and damages are resulted. Hence, the distinguishing of abnormal signature are need before the failure happens.
In this study, we used the analytical method of the time domain method, frequency domain method, and model testing, to research the differences of the signature between normal and defective bearings. Find the characteristics of the signature of defective bearings, and establish the expert diagnosis system. To diagnose the bearings, we discovered the characteristics of the signature from time domain and frequency domain, and used the degree of certainty to express the degree of actuality of signal characteristic and conclusion.
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