Abstract: Direction upcoming are one of the most important reason of dismemberment of rotation machines. Thus the detection and diagnosis of mechanical faults in bearings is very fateful for the desired operation. Any industry seeks for an efficient predictive maintenance techniques in order to optimize the management of resources and improve the economy of the plant by reducing unnecessary costs and increasing the level of safety. This study is centred around use of predictive maintenance techniques for the determination of faulty and healthy bearing on different positions. An apparatus consisting a test bench which has a motor and a shaft attached along with two different type of bearing like faulty bearing and healthy bearing. The vibration reaction are obtained and investigated for different positions of bearing. The particular imperfections are considered as that is non driven end and driven end of the bearing. After performing the experiment, comparison will be done between the experimental data which are the input for the omnitrend software. The result shows that when we compare all the condition than we will use as a automated diagnosis of bearing. It is also observed that severe vibration occur under the faulty bearing and when the speed is increases then all the defective bearings stop to rotate.
Keywords: Predictive Maintenance Techniques.
Title: ANALYSIS OF FAULT DIAGNOSIS OF BEARING USING MACH SPECTRUM METHOD
Author: Ashish Goyal, Dinesh Kumar , Nisha Kushwaha
International Journal of Mechanical and Industrial Technology
ISSN 2348-7593 (Online)
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