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Park Keon Tae Choi JaeGu Moon Byungwoo Koo Jea Mean Seok Chang Sung 《Journal of Mechanical Science and Technology》2019,33(7):3375-3381
Journal of Mechanical Science and Technology - Plumbing is necessary for boilers and heat exchangers and in buildings and power plants, including those that produce green energy. Further, among all... 相似文献
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DongSik Gu JaeGu kim YoungSu An ByeongKeun Choi 《Journal of Mechanical Science and Technology》2011,25(5):1279-1286
Vibration analysis is widely used in machinery diagnosis, and wavelet transform and envelope analysis have also been implemented
in many applications to monitor machinery condition. Envelope analysis is well known as a useful tool for the detection of
rolling element bearing faults, and wavelet transform is used in research to detect faults in gearboxes. These are applied
for the development of the condition monitoring system for early detection of the faults generated in several key components
of machinery. Early detection of the faults is a very important factor for condition monitoring and a basic component to extend
CBM (Condition-Based Maintenance) to PM (Prediction Maintenance). The AE (acoustic emission) sensor has a specific characteristic
on the high sensitivity of the signal, high frequency and low energy. Recently, AE technique has been applied in some studies
for the early detection of machine fault. In this paper, a signal processing method for AE signal by envelope analysis with
discrete wavelet transforms is proposed. Through the 15 days test using AE sensor, misalignment and bearing faults were observed
and early fault stage was detected. Also, in order to find the advantage of the proposed signal processing method, the result
was compared to that of the traditional envelope analysis and the accelerometer signal. 相似文献
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