Jong-Duk Son

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This study presents fault diagnosis of low speed bearing using multi-class relevance vector machine (RVM) and support vector machine (SVM). A low speed test rig was developed to simulate various defects with shaft speeds as low as 10 rpm under several loading conditions. The data was acquired from the low speed bearing test rig using two acoustic emission(More)
This study presents fault diagnosis of low speed bearing using support vector machine (SVM). The data used in the experiment was acquired using acoustic emission (AE) sensor and accelerometer. The aim of this study is to compare the performance of fault diagnosis based on AE signal and vibration signal with same load and speed. A low speed test rig was(More)
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