Lei, Yaguo

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

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesReliability and Maintenance Optimization

Cited by 2,634

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

Deep convolutional transfer learning network: A new method for intelligent fault diagnosis of machines with unlabeled data

Guo, L., Lei, Y., Xing, S., Yan, T., & Li, N. (2019) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 1,234

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

Condition monitoring and fault diagnosis of planetary gearboxes: A review

Lei, Y., Lin, J., Zuo, M. J., & He, Z. (2014) · Measurement

Machine Fault Diagnosis TechniquesGear and Bearing Dynamics Analysis

Cited by 731

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

Fault diagnosis of rotating machinery based on multiple ANFIS combination with gas

Lei, Y., He, Z., Zi, Y., & Hu, Q. (2007) · Mechanical Systems and Signal Processing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 500

A multidimensional hybrid intelligent method for gear fault diagnosis

Lei, Y., Zuo, M. J., He, Z., & Zi, Y. (2010) · Expert Systems with Applications

Machine Fault Diagnosis TechniquesGear and Bearing Dynamics Analysis

Cited by 240

An incorrect data detection method for big data cleaning of machinery condition monitoring

Xu, X., Lei, Y., & Li, Z. (2020) · IEEE Transactions on Industrial Electronics

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 134

Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction

Pei, H., Si, X., Li, T., Zhang, Z., & Lei, Y. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Machine Fault Diagnosis TechniquesReliability and Maintenance Optimization

Cited by 33