Abstract: Cross-domain fault diagnosis is useful in handling cross-working condition diagnosis scenarios. Most of the existing approaches mine domain knowledge from multiple working conditions.
Abstract: Machine learning algorithms always perform well to solve real-life problems encountered in daily life. Due to large data sets, analysis is also becoming too complex to predict anything. A ...
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