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Michael G. Pecht

1987–2026 年に発表

248
論文数
19,236
被引用数
65
h 指数
178
i10 指数

被引用数

Michael G. Pecht の年別被引用数1995 年: 被引用 2 件1996 年: 被引用 2 件1997 年: 被引用 1 件1998 年: 被引用 1 件1999 年: 被引用 3 件2000 年: 被引用 3 件2001 年: 被引用 2 件2002 年: 被引用 5 件2003 年: 被引用 3 件2004 年: 被引用 3 件2005 年: 被引用 6 件2006 年: 被引用 8 件2007 年: 被引用 9 件2008 年: 被引用 25 件2009 年: 被引用 27 件2010 年: 被引用 46 件2011 年: 被引用 46 件2012 年: 被引用 101 件2013 年: 被引用 130 件2014 年: 被引用 185 件2015 年: 被引用 247 件2016 年: 被引用 276 件2017 年: 被引用 341 件2018 年: 被引用 476 件2019 年: 被引用 548 件2020 年: 被引用 680 件2021 年: 被引用 697 件2022 年: 被引用 683 件2023 年: 被引用 715 件2024 年: 被引用 708 件2025 年: 被引用 611 件2026 年: 被引用 124 件2027 年: 被引用 1 件

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,155 件、この内訳の 44.2%アメリカ合衆国: 引用元論文 811 件、この内訳の 11.4%イギリス: 引用元論文 287 件、この内訳の 4%韓国: 引用元論文 269 件、この内訳の 3.8%香港: 引用元論文 204 件、この内訳の 2.8%カナダ: 引用元論文 198 件、この内訳の 2.8%インド: 引用元論文 184 件、この内訳の 2.6%フランス: 引用元論文 170 件、この内訳の 2.4%イタリア: 引用元論文 166 件、この内訳の 2.3%ドイツ: 引用元論文 134 件、この内訳の 1.9%シンガポール: 引用元論文 120 件、この内訳の 1.7%オーストラリア: 引用元論文 117 件、この内訳の 1.6%
0%44.2%その他 18.5%

機関

分野

  • Engineering73.3%
  • Computer Science16.7%
  • Decision Sciences1.7%
  • Medicine1.5%
  • Physics and Astronomy1%
  • Environmental Science1%
  • その他4.8%

トピック

  • Machine Fault Diagnosis Techniques10%
  • Fault Detection and Control Systems7.5%
  • Reliability and Maintenance Optimization6.9%
  • Advanced Battery Technologies Research6.5%
  • Advancements in Battery Materials3.2%
  • Gear and Bearing Dynamics Analysis2.8%
  • その他63.1%

共著者

全論文

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  1. Deep Residual Shrinkage Networks for Fault Diagnosis

    著者: Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2019 被引用: 1,363

  2. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

    著者: Yongzhi Zhang, Rui Xiong, Hongwen He, Michael G. Pecht - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2018 被引用: 1,254

  3. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process

    著者: Xiao-Sheng Si, Wenbin Wang, Chang-Hua Hu, Dong-Hua Zhou, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2012 被引用: 645

  4. Small data challenges for intelligent prognostics and health management: a review

    著者: Chuanjiang Li, Shaobo Li, Yixiong Feng, Konstantinos Gryllias, Fengshou Gu, Michael G. Pecht - Artificial Intelligence Review, Artif. Intell. Rev. 2024 被引用: 117

  5. Machine learning pipeline for battery state of health estimation

    著者: Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn - Nature Machine Intelligence, Nat. Mach. Intell. 2021 被引用: 586

  6. An ensemble model for predicting the remaining useful performance of lithium-ion batteries

    著者: Yinjiao Xing, Eden W. M. Ma, Kwok-Leung Tsui, Michael G. Pecht - Microelectronics Reliability, Microelectron. Reliab. 2013 被引用: 655

  7. Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

    著者: Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2020 被引用: 202

  8. Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network

    著者: Zhenyu Wu, Hongkui Zhang, Juchuan Guo, Yang Ji, Michael G. Pecht - Expert Systems with Applications, Expert Syst. Appl. 2022 被引用: 123

  9. Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

    著者: Jing Tian, Carlos Morillo, Michael H. Azarian, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2015 被引用: 480

  10. Degradation Data Analysis Using Wiener Processes With Measurement Errors

    著者: Zhi-Sheng Ye, Yu Wang, Kwok-Leung Tsui, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2013 被引用: 363

  11. A Local Adaptive Minority Selection and Oversampling Method for Class-Imbalanced Fault Diagnostics in Industrial Systems

    著者: Zhenyu Wu, Wenfang Lin, Binghao Fu, Juchuan Guo, Yang Ji, Michael G. Pecht - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2019 被引用: 71

  12. Reliability analysis of dependent competing failure processes with time-varying δ shock model

    著者: Hao Lyu, Hongchen Qu, Zaiyou Yang, Li Ma, Bing Lu, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2022 被引用: 53

  13. Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

    著者: Rui Xiong, Yongzhi Zhang, Ju Wang, Hongwen He, Simin Peng, Michael G. Pecht - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2018 被引用: 441

  14. Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

    著者: Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2017 被引用: 371

  15. Reliability analysis of the multi-state system with nonlinear degradation model under Markov environment

    著者: Hao Lyu, Hongchen Qu, Hualong Xie, Yimin Zhang, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2023 被引用: 43

  16. A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles

    著者: Chuanjiang Li, Shaobo Li, Ansi Zhang, Lei Yang, Enrico Zio, Michael G. Pecht, Konstantinos Gryllias - Journal of Computational Design and Engineering, J. Comput. Des. Eng. 2022 被引用: 44

  17. Dynamic Equivalent Circuit Model to Estimate State-of-Health of Lithium-Ion Batteries

    著者: Shehla Amir, Moneeba Gulzar, Muhammad Osama Tarar, Ijaz Haider Naqvi, Nauman Ahmad Zaffar, Michael G. Pecht - IEEE Access 2022 被引用: 174

  18. A Weighted Deep Domain Adaptation Method for Industrial Fault Prognostics According to Prior Distribution of Complex Working Conditions

    著者: Zhenyu Wu, Shuyang Yu, Xinning Zhu, Yang Ji, Michael G. Pecht - IEEE Access 2019 被引用: 69

  19. Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis

    著者: Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2018 被引用: 175

  20. A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications

    著者: Xiaosong Hu, Xinchen Deng, Feng Wang, Zhongwei Deng, Xianke Lin, Remus Teodorescu, Michael G. Pecht - IEEE, Proc. IEEE 2022 被引用: 177

  21. Reliability analysis for multi-component system considering failure propagation and dependent competing failure process

    著者: Hao Lyu, Zhihang Li, Xuehang Qiao, Bing Lu, Hualong Xie, Michael G. Pecht - Reliability Engineering & System Safety, Reliab. Eng. Syst. Saf. 2025 被引用: 22

  22. Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection

    著者: Siyu Zhang, Lei Su, Jiefei Gu, Ke Li, Weitian Wu, Michael G. Pecht - Expert Systems with Applications, Expert Syst. Appl. 2023 被引用: 16

  23. Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

    著者: Qiang Miao, Lei Xie, Hengjuan Cui, Wei Liang, Michael G. Pecht - Microelectronics Reliability, Microelectron. Reliab. 2012 被引用: 482

  24. Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

    著者: Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2013 被引用: 421