Early fault intelligent diagnosis on aircraft and its application

Zhongsheng Wang, Zhenbao Liu, Ying Lon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present an intelligent method for aircraft fault diagnosis and demonstrate that our method improves the effectiveness of the fault diagnosis. The method is based on the early fault analysis of aircraft and combines D-S Evidence Theory with Multi-agent. In this paper, we built a fault intelligent diagnosis model of aircraft and analyzed basic structure of Agent, structure and feature of mixed Agent, the realization strategy of intelligent diagnosis and D-S fusion reasoning algorithm. In the end, we applied the method on the thermal protection system of space-craft. The results have shown that our method, which combines D-S with Multi-agent, is a valid and effective way to identify aircraft early fault. We demonstrated the effectiveness of our method from four aspects: (1) it can not only identify the early fault quickly but also determine the location of faulty parts; (2) its structure is simple and configuration is flexible; (3) it can avoid complex count and reason fast; (4) it can effectively extract the early fault feature and speed up aircraft early fault diagnosis.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages5682-5686
Number of pages5
DOIs
StatePublished - 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • D-S evidence theory
  • Date fusion
  • Fault diagnosis
  • Multi-agent

Fingerprint

Dive into the research topics of 'Early fault intelligent diagnosis on aircraft and its application'. Together they form a unique fingerprint.

Cite this