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Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Hui Ma, Caizi Fan, Yongchao Zhang, Qibin Wang, Kun Yu, Zeyu Ma

2025Mechanical Systems and Signal Processing62 citationsDOI

Topics & Concepts

State (computer science)Fault (geology)EngineeringComputer scienceArtificial intelligenceControl engineeringAlgorithmGeologySeismologyMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityAdvanced machining processes and optimization
Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges | Litcius