An adaptive threshold algorithm based on satisfactory filtering principle

Lin Feng Gou, Bing Jie Han

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

2 Scopus citations

Abstract

In this paper, the problem of designing a adaptive threshold for Fault diagnostic in Full Authority Digital Engine Control system that are subject to environmental disturbances and various input is investigated. According to aero-engine small deviation linearization model, state matrix perturbation model with soft boundary pseudo normal distribution is built. The proposed algorithm bases on satisfaction filtering principle. Linear matrix inequality (LMI) method is applied to get upper bound of residual. With the residual distribution probability model and the target false alarm rate, the optimal threshold is determined. The proposed algorithm is then applied to sensor fault detection on a turbofan aero-engine. Simulation results demonstrate and validate the performance and capability of the adaptive threshold algorithm.

Original languageEnglish
Title of host publicationMechanical Automation and Materials Engineering
Pages179-182
Number of pages4
DOIs
StatePublished - 2013
Event2nd International Conference on Mechanical Automation and Materials Engineering, ICMAME 2013 - Wuhan, China
Duration: 9 Aug 201311 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume364
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Mechanical Automation and Materials Engineering, ICMAME 2013
Country/TerritoryChina
CityWuhan
Period9/08/1311/08/13

Keywords

  • Adaptive threshold
  • Linear matrix inequality (LMI)
  • Robust fault diagnosis

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