Review on Condition Monitoring of Bearings using vibration analysis techniques.

International Conference on Advances in Manufacturing, Materials and Energy Engineering 2018

材料科学;能源学

Kirankumar, M.V.^1 ; Lokesha, M.^1 ; Kumar, Sujesh^1 ; Kumar, Ajith^1

Dept. of Mechanical Engineering, Mangalore Institute of Technology and Engineering, Karnataka, Badaga Mijar, Moodabidri, India^1

关键词: Early fault detections;    On condition monitoring;    Signal processing technique;    Temperature monitoring;    Vibration analysis techniques;    Vibration signal analysis;    Vibration signature;    Vibration techniques;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/376/1/012110/pdf
DOI  :  10.1088/1757-899X/376/1/012110

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

A Bearing is one of the important components in the Rotary machines and has been widely used in various industries in many of the applications such as shaft mountings, to reduce friction as well as facilitate relative motion between the two components etc. It is therefore very essential to determine the early faults conditions from bearings. There are various methods to detect faults in the bearings, such as vibration monitoring, wear debris monitoring, temperature monitoring, soap techniques, non destructive test etc. Vibration signal analysis may be one of the commonly used techniques for checking the condition and finding faults in bearings. Vibration analysis has been used as a predictive maintenance procedure in the machine maintenance. By adopting appropriate signal processing techniques, changes in vibration signals due to faults can be detected to aid in maintaining the bearings health condition. By detecting and analyzing the machine vibration, it is possible to determine and predict the machine failure. Early fault detection of the bearings is possible by analyzing the vibration signal using different techniques. This paper give a relative of various techniques used for finding the fault in the bearings based on vibration analysis method.