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Data-Driven Based Key Performance Index Residual Generation and Its Application on Complex Electrical Equipment

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhi-gang Yao

    (Shijiazhuang Mechanical Engineering College)

  • Li Cheng

    (Lishui University)

  • Yu-lei Wang

    (University of Duisburg-Essen)

Abstract

Motivated by the increasing needs for key performance index related fault detection in complex electrical equipments, this paper proposes the subspace aided data-driven robust fault detection technique. The main idea is to use the original test data to identify the residual generators firstly, and then make use of performance indices to design of robust residuals which are robustness to non-quality variables and sensitivity to quality variables. Robust and robust reduced order residual generations are proposed, and finally the proposed methods are certified by application on complex electrical equipment.

Suggested Citation

  • Zhi-gang Yao & Li Cheng & Yu-lei Wang, 2013. "Data-Driven Based Key Performance Index Residual Generation and Its Application on Complex Electrical Equipment," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 577-586, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-37270-4_55
    DOI: 10.1007/978-3-642-37270-4_55
    as

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