Jia, Feng

Applications of machine learning to machine fault diagnosis: A review and roadmap

Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 2,997

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Jia, F., Lei, Y., Lin, J., Zhou, X., & Lu, N. (2016) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 1,710

An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data

Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 1,191

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

Yang, B., Lei, Y., Jia, F., & Xing, S. (2019) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 879

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

Jia, F., Lei, Y., Lu, N., & Xing, S. (2018) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 587

Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine

Zhao, K., Jia, Z., Jia, F., & Shao, H. (2023) · Engineering Applications of Artificial Intelligence

Machine Fault Diagnosis TechniquesReliability and Maintenance Optimization

Cited by 234