A Comparative Study on Multi-Condition Bearing Fault Diagnosis Methods Based on Machine Learning
In industrial fields, bearing fault diagnosis often faces problems such as noise interference, variable operating conditions, and scarce samples. Based on the multi-load bearing dataset from Case Western Reserve University, this paper extracts 15 time-domain and frequency-domain features, and compares the diagnostic pe...