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Author

Hangfeng Mo

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Open access Aug 2026

Multi-Feature Relational Modeling and Conditional-Memory-Augmented Anomaly Detection for Multi-Cylinder Diesel Engines Under Variable Operating Conditions

The results show that the method reduces the interference of operating-condition-induced normal-pattern drift with anomaly determination and improves the accuracy of fault warning within the range of the operating conditions covered in this study.

Yue Gao, Bingjie Ma, Hangfeng Mo et al. · 0 citations

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