Lin, Jing

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

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

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

Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning

Lin, J., Nassar, M., & Evans, B. L. (2013) · IEEE Journal on Selected Areas in Communications

Power Line Communications and NoisePower Quality and Harmonics

Cited by 253

A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes

Jiao, J., Zhao, M., Lin, J., & Zhao, J. (2018) · Knowledge-Based Systems

Machine Fault Diagnosis TechniquesGear and Bearing Dynamics Analysis

Cited by 127