Fault Detection and Diagnosis of Aircraft Electro Hydrostatic Actuator Control System

Yinchao Chen, Zhenling Mo, Lei Xie, Qiang Miao

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Electro hydrostatic actuator (EHA) is a key component of the actuation control system of modern aircraft. In order to maintain a high level of safety, fault detection and diagnosis of EHA control system is of great importance even though some degree of redundancy in the system already exists. In this paper, some common and detectable faults/failures of EHA control system are summarized, and some useful model-based fault detection and diagnosis methods are reviewed and discussed in details. © 2018 IEEE.
Original languageEnglish
Title of host publicationProceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
PublisherIEEE
Pages963-967
ISBN (Print)9781538653791
DOIs
Publication statusPublished - 4 Jan 2019
Externally publishedYes
Event2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 - Chongqing, China
Duration: 26 Oct 201828 Oct 2018

Publication series

NameProceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

Conference

Conference2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
PlaceChina
CityChongqing
Period26/10/1828/10/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This research was supported by National Defence Basic Scientific Research Projects under Grant No. JCKY 2016205A004.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Aircraft
  • EHA
  • Failure mode
  • FDD
  • Observer

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