Precognitive maintenance and probabilistic assessment of tool wear using particle filters. - Heng-Chao Yan; Chee Khiang Pang; Jun-Hong Zhou (IECON, 2013)

Parameter update and PDF prediction of degradation using stage-based Gamma process. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang; Xiang Li 040 (ETFA, 2015)

A two-step precognitive maintenance framework for equipment fault diagnosis with imbalanced data. - Heng-Chao Yan; Jun-Hong Zhou; Chee Khiang Pang (IECON, 2015)

Cost optimization on warning threshold and non-fixed periodic inspection intervals for machine degradation monitoring. - Heng-Chao Yan; Jun-Hong Zhou; Chee Khiang Pang (IECON, 2015)

A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries. - Ming Luo 003; Heng-Chao Yan; Bin Hu; Junhong Zhou; Chee Khiang Pang (Comput. Ind. Eng., 2015)

PDF and Breakdown Time Prediction for Unobservable Wear Using Enhanced Particle Filters in Precognitive Maintenance. - Chee Khiang Pang; Junhong Zhou; Heng-Chao Yan (IEEE Trans. Instrum. Meas., 2015)

New types of faults detection and diagnosis using a mixed soft & hard clustering framework. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (ETFA, 2016)

Machinery Degradation Inspection and Maintenance Using a Cost-Optimal Non-Fixed Periodic Strategy. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (IEEE Trans. Instrum. Meas., 2016)

Gaussian Mixture Model Using Semisupervised Learning for Probabilistic Fault Diagnosis Under New Data Categories. - Heng-Chao Yan; Junhong Zhou; Chee Khiang Pang (IEEE Trans. Instrum. Meas., 2017)

Quality monitoring of spot welding with advanced signal processing and data-driven techniques. - Xing-Jue Wang; Jun-Hong Zhou; Heng-Chao Yan; Chee Khiang Pang (Trans. Inst. Meas. Control, 2018)