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Federated learning and reinforcement learning: Application of fault diagnosis about permanent magnet synchronous motor - Couverture souple

Yuanjiang, Li

 
9786202309097: Federated learning and reinforcement learning: Application of fault diagnosis about permanent magnet synchronous motor

Synopsis

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.

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