断层(地质)
法律工程学
结构工程
工程类
地质学
地震学
作者
Nagaraju Tenali,D. Babu,K. Ch. Kishor Kumar
出处
期刊:International Journal of Advanced Engineering Research and Science
[AI Publications]
日期:2017-01-01
卷期号:4 (1): 216-220
被引量:3
标识
DOI:10.22161/ijaers.4.1.35
摘要
Rotating shaft is a vital element in power stations like Gas power stations, steam power station and Tidal power stations. These shaft failure or break down lead to the consequences, ranges from annoyance to the financial disaster or human damage. Hence predictive maintenance which includes early detection, identification and correction of machinery problems is paramount to anyone involved in the maintenance of industrial machinery to insure continued, safe and productive operation. Condition monitoring of machines is become necessary to run the machines efficiently. Vibrations are caused due to unbalance in the rotating components, dry friction between the two mating surfaces, misalignments, imperfect of coupling or bearings, and cracks in the shafts or blades. In predictive maintenance, vibration monitoring and analysis is essential. Health of any rotating shaft can be identified by its signature includes number of peaks. The peaks in the spectrum or signature give the information regarding the type of fault. In this paper gives a overview on vibrations analysis and faults diagnosis in various rotating machine parts and also this paper attempts to epitomize the recent research and developments in rotating element vibration analysis techniques.
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