DOIONLINE 
DOIONLINE Publish In |
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-2 ( Feb, 2017 ) | |||||||||
Paper Title |
Machinery Monitoring Using Vibration Signal Analysis | |||||||||
Author Name |
Ilhan Asilturk, Halit Aslanci, Ugur Ozmen | |||||||||
Affilition |
Selçuk University, Faculty of Technology, Mechanical Engineering, Konya TURKEY | |||||||||
Pages |
21-25 | |||||||||
Abstract |
Temperature, vibration, noise, current, voltage, acoustic emission, etc., all of the measurements are used for machine condition monitoring. Measuring vibration signals is one of the non-destructive testing (NDT) methods that is widely used to detect machine faults. There are many studies to predict mechanical wear, fault and failure in this area for several decades. Signal processing techniques are used to obtain vital characteristic information from the vibration signals. This paper attempts to summarize the results of an evaluation of vibration analysis techniques as a method for diagnosis of gear faults. The most effective vibration techniques are discussed and experimentally compared, concerning an industrial gearbox. Their advantages and disadvantages have been shown. Keywords: Vibration Signals, Monitoring, Predictive Maintenance | |||||||||
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