Jun-Hong Zhou

Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification

Jun-Hong Zhou, Chee Khiang Pang, Z.W. Zhong et al. · IEEE Transactions on Instrumentation and Measurement · 2010 · 145 citations

Condition Monitoring, Engineering, Industrial Engineering +12

A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics

Omid Geramifard, Jian‐Xin Xu, Jun-Hong Zhou et al. · IEEE Transactions on Industrial Informatics · 2012 · 117 citations

Engineering, Machine Learning, Industrial Engineering +23

Multimodal Hidden Markov Model-Based Approach for Tool Wear Monitoring

Omid Geramifard, Jian‐Xin Xu, Jun-Hong Zhou et al. · IEEE Transactions on Industrial Electronics · 2013 · 70 citations

Engineering, Industrial Engineering, Mechanical Engineering +17

Gaussian Mixture Model Using Semisupervised Learning for Probabilistic Fault Diagnosis Under New Data Categories

Heng-Chao Yan, Jun-Hong Zhou, Chee Khiang Pang · IEEE Transactions on Instrumentation and Measurement · 2017 · 65 citations

Fault Diagnosis, Engineering, Machine Learning +20

Gated Recurrent Units Based Neural Network For Tool Condition Monitoring

Huan Xu, Chong Zhang, Geok Soon Hong et al. · 2018 · 33 citations

Engineering, Machine Learning, Industrial Engineering +20