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Author/Affiliation: Byeongwoo KimOpen AccessArticle
7 Pages, 963 KB 
Fault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN
Abstract:
For systems using rotating machinery, diagnosing the faults of the rotating machinery is critical for system maintenance. Recently, a machine learning algorithm has been employed as one of the methods for diagnosing the faults of rotating machinery. This algorithm has an advantage of automatically classifying faults without an expert knowledge. However, despite a good training…
Read More(This article belongs to Section Electrical Engineering (ELE))