Abstract: The existing fault diagnosis methods of rotating machinery constructed with both shallow learning and deep learning models are mostly based on vibration analysis under steady rotating speed.

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Timely and accurate data-driven fault diagnosis approaches are essential for ensuring the reliable operation and efficient maintenance of rotating machinery. However, practical applications face ...

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The current version of this packages has only support for the module usage as described in the Programmatic Integration section. This feature will be added in next versions of the package. For now you ...