Research Progress on Data-Driven Industrial Fault Diagnosis Methods

With the advent of Industry 5.0, fault diagnosis is playing an increasingly important role in routine equipment maintenance and condition monitoring. From the perspective of industrial big data, this paper systematically reviews the current mainstream industrial fault diagnosis methods. The content...

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Bibliographic Details
Main Authors: Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/9/2952
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