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Lim Pin
Lim Pin
Data Scientist, Sembcorp Industries Ltd.
Verified email at sembcorp.com
Title
Cited by
Cited by
Year
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
C Zhang, P Lim, AK Qin, KC Tan
IEEE Transactions on Neural Networks and Learning Systems, 2016
7782016
Health index-based prognostics for remaining useful life predictions in electrical machines
F Yang, MS Habibullah, T Zhang, Z Xu, P Lim, S Nadarajan
IEEE Transactions on Industrial Electronics 63 (4), 2633-2644, 2016
2092016
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning
P Lim, CK Goh, KC Tan
IEEE Transactions on Cybernetics, 2016
1522016
A time window neural network based framework for Remaining Useful Life estimation
P Lim, CK Goh, KC Tan
Neural Networks (IJCNN), 2016 International Joint Conference on, 1746-1753, 2016
832016
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble
P Lim, CK Goh, KC Tan, P Dutta
IEEE transactions on neural networks and learning systems 28 (1), 136-148, 2017
762017
Estimation of remaining useful life based on switching kalman filter neural network ensemble
P Lim, CK Goh, KC Tan, P Dutta
Ann. Conf. Prognostics Health Manag. Soc, 1-8, 2014
512014
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications
P Lim, CK Goh, KC Tan
IEEE Transactions on Emerging Topics in Computational Intelligence 2 (3 …, 2018
202018
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes........................... Z. Han, Z. Liu, J …
C Zhang, P Lim, AK Qin, KC Tan, YF Pu, Z Yi, JL Zhou, S Wen, Z Zeng
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