Fault Diagnosis of the Speed Sensor of Electro-Mechanical Transmission of the High Speed Rotorcraft

Yue Ma, Lu Lin*, Yu Wang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The speed sensor of the electro-mechanical transmission is the most vulnerable part, if the speed sensor breaks down, the control system of the electro-mechanical will lose efficacy. In this paper, a model-based fault diagnosis method is proposed, which uses the unscented Kalman filter to diagnose the fault of the speed sensor. First, the mathematical model of the system is established, subsequently, the measurements are estimated by the unscented Kalman filter. Moreover, the residual errors between the estimated values and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.

Original languageEnglish
Title of host publication10th International Conference on Modelling, Identification and Control, ICMIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654163
DOIs
Publication statusPublished - 9 Nov 2018
Event10th International Conference on Modelling, Identification and Control, ICMIC 2018 - Guiyang, China
Duration: 2 Jul 20184 Jul 2018

Publication series

Name10th International Conference on Modelling, Identification and Control, ICMIC 2018

Conference

Conference10th International Conference on Modelling, Identification and Control, ICMIC 2018
Country/TerritoryChina
CityGuiyang
Period2/07/184/07/18

Keywords

  • Electro-mechanical transmission
  • fault diagnosis
  • model-based method
  • speed sensor
  • unscented Kalman filter

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