作者: M V KiranKumar , M Lokesha , Sujesh Kumar , Ajith Kumar
DOI: 10.1088/1757-899X/376/1/012110
关键词: Signal 、 Automotive engineering 、 Fault (power engineering) 、 Fault detection and isolation 、 Signal processing 、 Predictive maintenance 、 Vibration 、 Computer science 、 Bearing (mechanical) 、 Condition monitoring
摘要: A Bearing is one of the important components in Rotary machines and has been widely used various industries many applications such as shaft mountings, to reduce friction well facilitate relative motion between two etc. It therefore very essential determine early faults conditions from bearings. There are methods detect bearings, vibration monitoring, wear debris temperature soap techniques, non destructive test Vibration signal analysis may be commonly techniques for checking condition finding a predictive maintenance procedure machine maintenance. By adopting appropriate processing changes signals due can detected aid maintaining bearings health condition. detecting analyzing vibration, it possible predict failure. Early fault detection by using different techniques. This paper give based on method.