Condition Monitoring and Fault Diagnosis

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Abstract

The paper deals with detection of fault conditions based on measurements of vibration made on rotary machines in various industries. Detection of sources of vibration will be made based on the amplitude spectra and phase relationships of vibrations of individual machine parts, using the envelope of technology in detecting recurring events with low levels of the measured signal and processing of high-frequency signal in the range of acoustic emission. Because the display of a set of symptoms to the space of fault conditions for these methods is not simple, it is advisable to use a multi-parameter approach which means that important decisions are made on the basis of different types of measurements, for example, with using techniques of modal analysis and operational modal analysis. The paper presented the results of various measurements on the machinery.

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APA

Dekys, V. (2017). Condition Monitoring and Fault Diagnosis. In Procedia Engineering (Vol. 177, pp. 502–509). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2017.02.252

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