Ming Zhao

发表

Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal

Viliam Makis, Yonghao Miao, Yonghao Miao, 2019, Mechanical Systems and Signal Processing.

Prospect Theory based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation

Ming Zhao, Imran Khan, Peerapong Uthansakul, 2021 .

Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal

Zhiqiang Zhang, Ming Zhao, Jing Lin, 2020 .

Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings

Yonghao Miao, Ming Zhao, Xiaoqiang Xu, 2016 .

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

Ming Zhao, Junning Liu, Xudong Gong, 2020, RecSys.

Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery

Ming Zhao, Jing Lin, Chuancang Ding, 2021 .

Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox

Yaguo Lei, Ming Zhao, Xiaodong Jia, 2018 .

Encoder-based weak fault detection for rotating machinery using improved Gaussian process regression

Ming Zhao, Zhipeng Ma, Shuai Chen, 2020 .

Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings

Yaguo Lei, Yonghao Miao, Ming Zhao, 2017 .

Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification

Yonghao Miao, Ming Zhao, Jing Lin, 2017 .

Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings

Yonghao Miao, Ming Zhao, Jing Lin, 2016 .

Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery

Jay Lee, Ming Zhao, Xiaodong Jia, 2018 .