Federated learning and reinforcement learning
Li Yuanjiang
Broschiertes Buch

Federated learning and reinforcement learning

Application of fault diagnosis about permanent magnet synchronous motor

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Driven by sustainable development strategies, Permanent Magnet Synchronous Motors (PMSM) are widely used in new energy sources, industrial production and power generation due to their simple structure, small size and high reliability. Short circuits between turns are a common and destructive type of fault in PMSM applications, and if not detected and resolved in time can aggravate motor damage and even threaten life safety and cause serious economic losses.