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In recent years, the fault detection and diagnosis of gear transmission systems have attracted considerable attention, as it can reduce mechanical downtime and secondary damage caused by faults. Compared with simple planetary gear trains, compound planetary gear trains achieve more ideal transmission ratios in the same or smaller volume, and are widely used in aerospace, wind power and other machinery. Therefore, it is meaningful to diagnose faults in compound planetary gear trains. Currently, vibration-based fault diagnosis technology is the most widely used technique for detecting and diagnosing rotating machinery faults. In practical applications, however, faulty information-bearing vibration signals often become obscured by healthy component vibration signals and background noise; thus it is necessary to study new signal processing methods for fault diagnosis based on vibration signals.
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