rolling element bearing fault diagnosis滚动轴承故障诊断 简书

PHM——CNN_

Eren L Bearing fault detection by one-dimensional convolutional neural networks[J] Mathematical Problems in Engineering 2017 2017 Lu C Wang Z Zhou B Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification[J] Advanced Engineering Informatics 2017 32: 139-151

_Miraclecanbeachieve

[1]mith W A Randall R B Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study[J] Mechanical Systems and Signal Processing 2015 64-65:100-131 [2]rstraete D Ferrada A Droguett E L et al Deep learning enabled fault diagnosis using time-frequency image analysis of rolling element bearings[J]

PHM——CNN_

Eren L Bearing fault detection by one-dimensional convolutional neural networks[J] Mathematical Problems in Engineering 2017 2017 Lu C Wang Z Zhou B Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification[J] Advanced Engineering Informatics 2017 32: 139-151

Fault Pattern Recognition of Rolling Bearing Based on

As shown in Fig 1 the rolling bearing bench is employed to simulate the working condition of bearing where a 6307 rolling bearing is installed in the drive end of the bench a flexible shaft couplings equipped with rotating turntable is driven by a three-phase

Vibration model of rolling element

Bearing dynamic modeling is an important mean to understand its fault mechanism it is the theoretical foundation and the key link of fault diagnosis of rolling element bearings In order to predict rolling bearings' vibration characteristics correctly based on Hertz contact theory a 3-DOF dynamic model for rolling element bearings with inner

PHM——CNN_

Eren L Bearing fault detection by one-dimensional convolutional neural networks[J] Mathematical Problems in Engineering 2017 2017 Lu C Wang Z Zhou B Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification[J] Advanced Engineering Informatics 2017 32: 139-151

pdf

Finally ExpertSystem faultdiagnosis rollingelement bearing experimentalresults show canidentify faultpatterns accurately sametime Neuralnetwork ExpertSystem experimentalresults show BPNeural network diagnosis Key words: Rolling element bearing;Fault diagnosis;Vibration analysis; Neural network;Expert System