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Model-based Fault Detection (FD) is an approach that utilizes mathematical models of the system or device being monitored to detect, identify, and diagnose potential faults. These models can be based on physical laws, engineering principles, or data-driven approaches. As faults may change the behavior and performance of the system.

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Model-Based Fault Detection for Automotive Electric Machines

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  • 发表日期：

    2026年

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  • Alia Salah

摘要

Model-based Fault Detection (FD) is an approach that utilizes mathematical models of the system or device being monitored to detect, identify, and diagnose potential faults. These models can be based on physical laws, engineering principles, or data-driven approaches. As faults may change the behavior and performance of the system.