Search Results - "YANG SHENGKANG" :: K.UTB vyhledávací portál

The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data

by Cheng, Han, Kong, Xianguang, Wang, Qibin, Ma, Hongbo, Yang, Shengkang
Published in Reliability engineering & system safety (01.09.2022)

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Deep transfer learning in machinery remaining useful life prediction: A systematic review

by Chen, Gaige, Kong, Xianguang, Cheng, Han, Shengkang, Yang, Wang, Xianzhi
Published in Measurement science & technology (21.10.2024)

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Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions

by Yang, Shengkang, Kong, Xianguang, Wang, Qibin, Li, Zhongquan, Cheng, Han, Xu, Kun
Published in Knowledge-based systems (05.08.2022)

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A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning

by Xu, Kun, Kong, Xianguang, Wang, Qibin, Yang, Shengkang, Huang, Naining, Wang, Junji
Published in Advanced engineering informatics (01.10.2022)

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Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions

by Cheng, Han, Kong, Xianguang, Wang, Qibin, Ma, Hongbo, Yang, Shengkang, Chen, Gaige
Published in Journal of intelligent manufacturing (01.02.2023)

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A multi-source ensemble domain adaptation method for rotary machine fault diagnosis

by Yang, Shengkang, Kong, Xianguang, Wang, Qibin, Li, Zhongquan, Cheng, Han, Yu, Linyang
Published in Measurement : journal of the International Measurement Confederation (01.12.2021)

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A domain adaptation method for bearing fault diagnosis using multiple incomplete source data

by Wang, Qibin, Xu, Yuanbing, Yang, Shengkang, Chang, Jiantao, Zhang, Jingang, Kong, Xianguang
Published in Journal of intelligent manufacturing (01.02.2024)

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Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data

by Cheng, Han, Kong, Xianguang, Wang, Qibin, Ma, Hongbo, Yang, Shengkang, Xu, Kun
Published in Reliability engineering & system safety (01.08.2023)

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Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery

by Zhang, Guowei, Kong, Xianguang, Du, Jingli, Wang, Jinrui, Yang, Shengkang, Ma, Hongbo
Published in Engineering applications of artificial intelligence (01.04.2023)

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Dual Weighted-Class Adversarial Network for Rotary Machine Fault Diagnosis Using Multisource Domain with Class-Inconsistent Data

by Yang, Shengkang, Lei, Boyang, Wang, Qibin, Chang, Jiantao, Kong, Xianguang, Cheng, Han
Published in IEEE/ASME transactions on mechatronics (01.10.2024)

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A zero-sample intelligent fault diagnosis method for bearings based on category relationship model

by Wang, Qibin, Liu, Ni, Wang, Junji, Yin, Lei, Yang, Shengkang, Huang, Naining
Published in Engineering applications of artificial intelligence (01.04.2024)

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An adaptive transfer fault detection method for rotary machine with multi-sensor information fusion

by Wang, Qibin, Yu, Linyang, Hao, Liang, Yang, Shengkang, Zhou, Tao, Ji, Wanghui
Published in Journal of intelligent manufacturing (01.08.2024)

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The Thermal-Structural Analysis of a Pin Under High Accelerated Stress Screening Test

by Ma, Hongbo, Yang, Shengkang, Wang, Haidong, Li, Ningxia, Jia, Fei
Published in IEEE transactions on components, packaging, and manufacturing technology (2011) (01.09.2019)

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