Changbo He

According to our database, Changbo He authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines.

Xuefang Xu, Xu Yang, Changbo He, Peiming Shi, Changchun Hua

IEEE Trans. Instrum. Meas., 2024

Adaptive Feature-Oriented Dictionary Learning and Sparse Classification Framework for Bearing Compound Fault Diagnosis.

Wei Fan, Chenxi Yang, Chao Chen, Changbo He, Ye Yuan, Ying Li

IEEE Trans. Instrum. Meas., 2024

Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions.

Xuefang Xu, Xu Yang, Zijian Qiao, Pengfei Liang, Changbo He, Peiming Shi

Knowl. Based Syst., 2024

A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis.

Xuefang Xu, Shuo Bao, Pengfei Liang, Zijian Qiao, Changbo He, Peiming Shi

Expert Syst. Appl., 2024

A new H∞ control method of singular time-delay systems based on a variable memory state feedback.

Ya-Li Zhi, Lanyu Xiong, Xiaohan Fang, Ying Wang, Changbo He

Eur. J. Control, 2024

2023

Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System.

Changbo He, Pengpeng Han, Jingfeng Lu, Xiaoxian Wang, Juncai Song, Zhixiong Li, Siliang Lu

IEEE Trans. Instrum. Meas., 2023

Fault Diagnosis of Rotating Machinery Based on the Improved Multidimensional Normalization ResNet.

Changbo He, Yujie Cao, Yang Yang, Yongbin Liu, Xianzeng Liu, Zheng Cao

IEEE Trans. Instrum. Meas., 2023

Feature Extraction Based on Hierarchical Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis.

Zhixiang Chen, Yang Yang, Changbo He, Yongbin Liu, Xianzeng Liu, Zheng Cao

IEEE Trans. Instrum. Meas., 2023

2022

Performance Degradation Prediction Using LSTM with Optimized Parameters.

Yawei Hu, Ran Wei, Yang Yang, Xuanlin Li, Zhifu Huang, Yongbin Liu, Changbo He, Huitian Lu

Sensors, 2022

Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization.

Xuejun Zhao, Yong Qin, Changbo He, Limin Jia

J. Intell. Manuf., 2022

2021

Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis.

Qiang Xue, Boyu Xu, Changbo He, Fang Liu, Bin Ju, Siliang Lu, Yongbin Liu

IEEE Trans. Instrum. Meas., 2021

An Improved Key-Phase-Free Blade Tip-Timing Technique for Nonstationary Test Conditions and Its Application on Large-Scale Centrifugal Compressor Blades.

Changbo He, Jérôme Antoni, Alessandro Paolo Daga, Hongkun Li, Ning Chu, Siliang Lu, Zhixiong Li

IEEE Trans. Instrum. Meas., 2021

2020

An Adaptive Autogram Approach Based on a CFAR Detector for Incipient Cavitation Detection.

Ning Chu, Linlin Wang, Liang Yu, Changbo He, Linlin Cao, Bin Huang, Dazhuan Wu

Sensors, 2020

Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM.

Xuejun Zhao, Yong Qin, Changbo He, Limin Jia

IEEE Access, 2020

2019

Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum.

Xuejun Zhao, Yong Qin, Changbo He, Limin Jia, Linlin Kou

Entropy, 2019

2018

Weak Defect Identification for Centrifugal Compressor Blade Crack Based on Pressure Sensors and Genetic Algorithm.

Hongkun Li, Changbo He, Reza Malekian, Zhixiong Li

Sensors, 2018

Rolling element bearing weak fault diagnosis based on optimal wavelet scale cyclic frequency extraction.

Rui Yang, Hongkun Li, Changbo He, Zhixin Zhang

J. Syst. Control. Eng., 2018