Title: Research on fault diagnosis technology based on FD-GT method

Authors: Weijie Kang; Jiyang Xiao; Mingqing Xiao; Xilang Tang; Bin Hu

Addresses: Automatic Test System Lab, Aeronautical Engineering College, Air Force Engineering University, No. 1, Baling Road, Baqiao District, Xi'an, Shaanxi, China ' Operational Design and Mission Planning Lab, Air Traffic Control and Navigation College, Air Force Engineering University, No. 1, East Changle road, Baqiao District, Xi'an, Shaanxi, China ' Automatic Test System Lab, Aeronautical Engineering College, Air Force Engineering University, No. 1, Baling Road, Baqiao District, Xi'an, Shaanxi, China ' Automatic Test System Lab, Aeronautical Engineering College, Air Force Engineering University, No. 1, Baling Road, Baqiao District, Xi'an, Shaanxi, China ' Xiangtan Branch, China Mobile Communications Corporation, Number 1, Dahu road, Xiangtan, Hunan, China

Abstract: Fault diagnosis can be divided into two main tasks: fault feature extraction and fault data classification. Firstly, aiming at the problem that the fault feature extraction method is not significant, this paper proposes a fault feature extraction method based on fuzzy distance (FD). The initial fuzzy distance calculation method is established by expert knowledge. The key parameters of fuzzy distance are optimised based on DE algorithm combined with historical test data. Secondly, aiming at the problem of low accuracy when classifying fault data, this paper proposes a fault data classification method based on grey target (GT) decision. The fault data classification is realised by calculating the target distance of each fault type with the current input signal set. Finally, the fuzzy distance- grey target (FD-GT) method is verified by an example. The results show that it can achieve more efficient and reliable fault diagnosis.

Keywords: fuzzy reasoning; grey target decision; fault diagnosis; differential evolution algorithm; grey number.

DOI: 10.1504/IJICT.2020.106321

International Journal of Information and Communication Technology, 2020 Vol.16 No.3, pp.261 - 274

Received: 19 Feb 2019
Accepted: 29 Apr 2019
Published online: 02 Apr 2020 *

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