Parity space-based fault isolation using minimum error minimax probability machine. (February 2020)

• Record Type: Journal Article
• Authors: Song, Yang; Zhong, Maiying; Xue, Ting; Ding, Steven X.; Li, Wenbo
• Is Part Of: Control engineering practice. Volume 95(2020)
• Publication Date: 2020-02
• Subjects: Parity space -- Fault isolation -- Minimum error minimax probability machine -- Fault isolability -- Classification accuracy; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2019.104242
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: In this paper, a new parity space-based fault isolation (FI) approach is proposed for linear discrete time-invariant systems. The main contribution lies in the integrated design of FI system and fault isolability properties without any assumptions on the probability distribution of unknown inputs. First, a fault isolability evaluation index is defined as the worst-case probability of correct FI in different faulty scenarios, and a new objective function is proposed for the integrated design of parity space-based residual generator, evaluation logic and fault isolability properties. Based on this, the FI problem is formulated as a bank of optimal multiclass classification problems. Next, using the technique of minimum error minimax probability machine (MEMPM), a group of feasible parity space matrices for residual generation are obtained. Furthermore, the FI method by MEMPM is presented with a desirable trade-off between the fault isolability properties in different faulty scenarios. To show the effectiveness of the proposed method, a satellite attitude control system subject to six faults is considered.