Hongdi Zhou - researchr alias

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Viewing Publication 1 - 4 from 4

2022

MS-SSPCANet: A powerful deep learning framework for tool wear predictionJian Duan, Cheng Hu, Xiaobin Zhan, Hongdi Zhou, Guanglan Liao, Tielin Shi. rcim, 78:102391, 2022. [doi]

2020

A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network StructuresShoucong Xiong, Hongdi Zhou, Shuai He, Leilei Zhang, Qi Xia, Jianping Xuan, Tielin Shi. sensors, 20(17):4965, 2020. [doi]

2018

Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element BearingsJie Duan, Tielin Shi, Hongdi Zhou, Jianping Xuan, Yongxiang Zhang. sensors, 18(5):1466, 2018. [doi]

2017

Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling BearingsHongdi Zhou, Tielin Shi, Guanglan Liao, Jianping Xuan, Jie Duan, Lei Su, Zhenzhi He, Wuxing Lai. sensors, 17(3):625, 2017. [doi]

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