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Change point detection of multimode processes considering both mode transitions and parameter changes

  • Published:2023-10-05 Issue: Volume: Page:1-16
  • ISSN:2472-5854
  • Container-title:IISE Transactions
  • language:en
  • Short-container-title:IISE Transactions

Author:

Xu Jun1ORCID,Zhou Jie12,Huang Xiaofang2,Wang Kaibo13ORCID

Affiliation:

1. Department of Industrial Engineering, Tsinghua University, Beijing, China

2. Control Engineering and Protection Department, R&D Center, Wind Power Business Group, Goldwind Science & Technology Co.,Ltd, Beijing, China

3. Vanke School of Public Health, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Reference39 articles.

1. Burton, T., Jenkins, N., Bossanyi, E., Sharpe, D. and Graham, M. (2021) Wind Energy Handbook, third edition, John Wiley & Sons, Hoboken, NJ.

2. Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines;Chen Z.;Reliability Engineering and System Safety,2023

3. Ding, Y. (2019) Data Science for Wind Energy, CRC Press, Boca Raton, FL.

4. A case study of space-time performance comparison of wind turbines on a wind farm;Ding Y.;Renewable Energy,2021

5. Multimode process monitoring based on data-driven method;Du W.;Journal of the Franklin Institute,2017

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