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

Zhi-gang Yao (), Li Cheng () and Yu-lei Wang ()
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Zhi-gang Yao: Shijiazhuang Mechanical Engineering College
Li Cheng: Lishui University
Yu-lei Wang: University of Duisburg-Essen

Chapter Chapter 55 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 577-586 from Springer

Abstract: 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.

Keywords: Data-driven; Fault detection; Key performance index; Residual generator (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-37270-4_55

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DOI: 10.1007/978-3-642-37270-4_55

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