Health Monitoring and Predictive Maintenance System Using Acoustic Emission and Vibration Analysis

Lavanya G; Dr.D.Dhanasekaran; Bhuvaneswari

Volume : III, Issue : X, October - 2014

Health Monitoring and Predictive Maintenance System Using Acoustic Emission and Vibration Analysis

Lavanya G, Dr. D. Dhanasekaran, Bhuvaneswari

Abstract :

Recently, research on effective Acoustic Emission based methods for condition monitoring and fault detection has attracted many researchers. Due to the complexity of acoustic signals properties, the effective features of fault detection cannot be easily extracted from the raw acoustic signals; such a problem is solved by utilizing VLSI process. This method depends on the variations in frequency to distinguish different operating conditions of a machine. The intension in this study is to categorize the acoustic signals into faulty andhealthyclasses. Acoustic emission signals are generated from four different motor in both healthy and faulty conditions and various load conditions. It is implemented and configured using an FPGA–PC. There are three approach available for this experiments 1. Acoustic signal Data acquisition 2.Statistical relation between healthy and unhealthy signal 3.Comparisons .