David He
Cited by
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A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology
M Dong, D He
Mechanical systems and signal processing 21 (5), 2248-2266, 2007
Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
M Dong, D He
European Journal of Operational Research 178 (3), 858-878, 2007
Using deep learning-based approach to predict remaining useful life of rotating components
J Deutsch, D He
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (1), 11-20, 2017
Deep learning based approach for bearing fault diagnosis
M He, D He
IEEE Transactions on Industry Applications 53 (3), 3057-3065, 2017
Rotational machine health monitoring and fault detection using EMD-based acoustic emission feature quantification
R Li, D He
IEEE Transactions on Instrumentation and Measurement 61 (4), 990-1001, 2012
A directed acyclic graph network combined with CNN and LSTM for remaining useful life prediction
J Li, X Li, D He
IEEE Access 7, 75464-75475, 2019
PM2. 5 concentration prediction using hidden semi-Markov model-based times series data mining
M Dong, D Yang, Y Kuang, D He, S Erdal, D Kenski
Expert Systems with Applications 36 (5), 9046-9055, 2009
Design of assembly systems for modular products
DW He, A Kusiak
IEEE Transactions on Robotics and Automation 13 (5), 646-655, 1997
Plastic bearing fault diagnosis based on a two-step data mining approach
D He, R Li, J Zhu
IEEE Transactions on Industrial Electronics 60 (8), 3429-3440, 2012
Lithium-ion battery life prognostic health management system using particle filtering framework
M Dalal, J Ma, D He
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2011
Design of double-and triple-sampling X-bar control charts using genetic algorithms
D He, A Grigoryan, M Sigh
International Journal of Production Research 40 (6), 1387-1404, 2002
Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors—A comparative study
Y Qu, D He, J Yoon, B Van Hecke, E Bechhoefer, J Zhu
Sensors 14 (1), 1372-1393, 2014
Lubrication oil condition monitoring and remaining useful life prediction with particle filtering
J Zhu, JM Yoon, D He, Y Qu, E Bechhoefer
International Journal of Prognostics and Health Management 4, 124-138, 2013
Equipment health diagnosis and prognosis using hidden semi-Markov models
M Dong, D He, P Banerjee, J Keller
The International Journal of Advanced Manufacturing Technology 30 (7), 738-749, 2006
Survey of lubrication oil condition monitoring, diagnostics, and prognostics techniques and systems
J Zhu, D He, E Bechhoefer
Journal of chemical science and technology 2 (3), 100-115, 2013
Analysis of sequential failures for assessment of reliability and safety of manufacturing systems
A Adamyan, D He
Reliability Engineering & System Safety 76 (3), 227-236, 2002
Low speed bearing fault diagnosis using acoustic emission sensors
B Van Hecke, J Yoon, D He
Applied Acoustics 105, 35-44, 2016
Fault features extraction for bearing prognostics
R Li, P Sopon, D He
Journal of Intelligent Manufacturing 23 (2), 313-321, 2012
Design for agile assembly: an operational perspective
A Kusiak, DW He
International Journal of Production Research 35 (1), 157-178, 1997
Online particle‐contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines
J Zhu, JM Yoon, D He, E Bechhoefer
Wind Energy 18 (6), 1131-1149, 2015
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