Fault Detection and Location System for Diagnosis of Multiple Faults in Aeroengines | Zendy

Ye Yuan | Zendy; Xiafoeng Liu | Zendy; Shuiting Ding | Zendy; Bochao Pan | Zendy

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Fault Detection and Location System for Diagnosis of Multiple Faults in Aeroengines

Author(s) -

Ye Yuan,

Xiafoeng Liu,

Shuiting Ding,

Bochao Pan

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2744639

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper presents a fault detection and location (FDL) system for the situation of the coexistence of faults and health degradation in aeroengines. The FDL is able to locate the faulty sensors and actuators when the two kinds of faults coexist and avoid the interference of health degradation. The FDL is formed by a matrix of hybrid Kalman filters, and the different performances of hybrid Kalman filters can be used to distinguish the different faults. The proposed approach is applied to the nonlinear aeroengine model, and the ability of the proposed approach to detect and locate the faulty sensors and actuators reliably is demonstrated. According to the results, the FDL is able to locate the faulty sensors and actuators during the interference of health degradation.

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