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Zhe Li
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Year
Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario
Z Li, Y Wang, KS Wang
Advances in Manufacturing 5 (4), 377-387, 2017
1772017
A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment
Z Li, J Li, Y Wang, K Wang
The International Journal of Advanced Manufacturing Technology 103 (1), 499-510, 2019
712019
Industry 4.0-potentials for predictive maintenance
Z Li, K Wang, Y He
6th International Workshop of Advanced Manufacturing and Automation, 42-46, 2016
552016
A data-driven method based on deep belief networks for backlash error prediction in machining centers
Z Li, Y Wang, K Wang
Journal of Intelligent Manufacturing 31 (7), 1693-1705, 2020
472020
A deep learning driven method for fault classification and degradation assessment in mechanical equipment
Z Li, Y Wang, K Wang
Computers in industry 104, 1-10, 2019
472019
Interpretation and compensation of backlash error data in machine centers for intelligent predictive maintenance using ANNs
KS Wang, Z Li, J Braaten, Q Yu
Advances in Manufacturing 3 (2), 97-104, 2015
342015
Smart Maintenance in Asset Management–Application with Deep Learning
H Rødseth, RJ Eleftheriadis, Z Li, J Li
International Workshop of Advanced Manufacturing and Automation, 608-615, 2019
52019
A review on data-driven predictive maintenance approach for hydro turbines/generators
S Wang, K Wang, Z Li
6th International Workshop of Advanced Manufacturing and Automation, 30-35, 2016
42016
Knowledge discovery and anomaly identification for low correlation industry data
Z Li, J Li
International Workshop of Advanced Manufacturing and Automation, 195-202, 2019
12019
Deep Learning Driven Approaches for Predictive Maintenance: A Framework of Intelligent Fault Diagnosis and Prognosis in the Industry 4.0 Era
Z Li
NTNU, 2018
12018
Fault classification and degradation assessment based on wavelet packet decomposition for rotary machinery
Z Li, VGB Pedersen, K Wang, Y He
International Workshop of Advanced Manufacturing and Automation, 509-516, 2017
12017
HDPS-BPSO based predictive maintenance scheduling for backlash error compensation in a machining center
Z Li, Y Wang, K Wang, J Li
International Workshop of Advanced Manufacturing and Automation, 71-77, 2018
2018
Applying Radial Basis Function Networks to Fault Diagnosis of Motorized Spindle
Z Li, K Wang, J Yang, Y Stefanov
6th International Workshop of Advanced Manufacturing and Automation, 237-240, 2016
2016
Comparing different methods of fault classification in centrifugal pumps
Z Li, K Wang
WIT Transactions on Engineering Sciences 113, 217-224, 2016
2016
Research on fault diagnosis and prognosis for machine centers
Z Li, K Wang
WIT Transactions on Engineering Sciences 113, 225-232, 2016
2016
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