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Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach Journal article
Energies, 2016,Volume: 9,Issue: 6
Authors:  Yang Z.-X.;  Wang X.-B.;  Zhong J.-H.
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Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis Journal article
Entropy, 2016,Volume: 18,Issue: 4
Authors:  Yang Z.-X.;  Zhong J.-H.
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Acoustic Signal Processing  Ensemble Empirical Mode Decomposition (Eemd)  Fault Diagnosis  Hybrid System  Sample Entropy (Sampen)  Singular Value Decomposition (Svd)  
Simultaneous-fault diagnosis of gearboxes using probabilistic committee machine Journal article
Sensors (Switzerland), 2016,Volume: 16,Issue: 2
Authors:  Zhong J.-H.;  Wong P.K.;  Yang Z.-X.
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Hilbert-huang Transform  Pairwise-coupling Probabilistic Committee Machine  Simultaneous-fault Diagnosis  
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis Journal article
Neurocomputing, 2016,Volume: 174,Page: 331-343
Authors:  Wong P.K.;  Zhong J.;  Yang Z.;  Vong C.M.
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Automotive Engine  Multi-signal Fusion  Probabilistic Committee Machine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  
An Effective Fault Feature Extraction Method for Gas Turbine Generator System Diagnosis Journal article
Shock and Vibration, 2016,Volume: 2016
Authors:  Zhong J.-H.;  Liang J.;  Yang Z.-X.;  Wong P.K.;  Wang X.-B.
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