Yonghao Miao

发表

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

Yonghao Miao, Ming Zhao, Jing Lin, 2016 .

A new two-stage strategy to adaptively design and finely tune the filters for bearing fault-related mode decomposition

Jing Lin, Yonghao Miao, Zongyang Liu, 2023, Measurement.

Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band

Jing Lin, Yonghao Miao, Ming Zhao, 2019, IEEE Transactions on Industrial Electronics.

A review on the application of blind deconvolution in machinery fault diagnosis

Ming Zhao, Jing Lin, Yonghao Miao, 2022 .

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.

Weighted envelope spectrum based on the spectral coherence for bearing diagnosis.

Jing Lin, Yonghao Miao, Boyao Zhang, 2021, ISA transactions.

Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis.

Ming Zhao, Jing Lin, Yonghao Miao, 2021, ISA transactions.

Practical framework of Gini index in the application of machinery fault feature extraction

Yonghao Miao, Hao Li, Jingjing Wang, 2022 .

Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis

Yonghao Miao, Jing Lin, Yinggang Yi, 2021 .

Research on sparsity indexes for fault diagnosis of rotating machinery

Ming Zhao, Yonghao Miao, Jiadong Hua, 2020 .

Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal

Ming Zhao, Yonghao Miao, Jing Lin, 2020 .

Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition.

Jing Lin, Ming Zhao, Yonghao Miao, 2019, ISA transactions.

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

Yonghao Miao, Ming Zhao, Jing Lin, 2017 .

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

Yaguo Lei, Yonghao Miao, Ming Zhao, 2017 .

Harmonics-to-noise ratio guided deconvolution and its application for bearing fault detection

Gang Liu, Jing Lin, Yonghao Miao, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

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 .

Application of improved reweighted singular value decomposition for gearbox fault diagnosis based on built-in encoder information

Yonghao Miao, Jing Lin, Boyao Zhang, 2021 .

Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis

Jing Lin, Dayi Zhang, Yonghao Miao, 2023, IEEE Transactions on Industrial Electronics.

Deep network-based maximum correlated kurtosis deconvolution: A novel deep deconvolution for bearing fault diagnosis

Yonghao Miao, Chenhui Li, Huifang Shi, 2023, Mechanical Systems and Signal Processing.

Optimal preventive maintenance policy of the balanced system under the semi-Markov model

Yonghao Miao, Jingjing Wang, Yonghao Miao, 2021, Reliab. Eng. Syst. Saf..

An imperfect age-based and condition-based opportunistic maintenance model for a two-unit series system

Yinggang Yi, Jingjing Wang, Yonghao Miao, 2021, Comput. Ind. Eng..

Modified minimum variance imaging of Lamb waves for damage localization in aluminum plates and composite laminates

J. Hua, Jing Lin, Yonghao Miao, 2021, NDT & E International.

Application of improved Double-Dictionary K-SVD for compound-fault diagnosis of rolling element bearings

Jing Lin, Yonghao Miao, Chuancang Ding, 2021, Measurement.

Application of sparsity-oriented VMD for gearbox fault diagnosis based on built-in encoder information.

Yonghao Miao, Jing Lin, Ming Zhao, 2020, ISA transactions.