Rolling Element Bearing Fault Diagnosis Based on Deep Belief Network and Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
A DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks
A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...
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ژورنال
عنوان ژورنال: Annual Conference of the PHM Society
سال: 2019
ISSN: 2325-0178,2325-0178
DOI: 10.36001/phmconf.2019.v11i1.882