Skip to main navigation Skip to search Skip to main content

Development of a sensor-based learning approach to prognostics in intelligent vehicle health monitoring

  • Ivan S. Cole
  • , Penny A. Corrigan
  • , Wayne Ganther
  • , Tim Ho
  • , Chris J. Lewis
  • , Tim H. Muster
  • , David Paterson
  • , Don C. Price
  • , D. A. Scott
  • , David Followell
  • , Steve Galea
  • , Bruce Hinton

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

15 Citations (Scopus)

Abstract

This paper reports the development and testing of an intelligent sensing network for monitoring corrosion of aircraft structures. The agent-based system uses sensed microclimate and corrosion data with an innovative analysis approach to diagnose corrosion and to infer the presence of corrosion in locations such as crevices and fasteners where it cannot be sensed directly. An important feature of the system is its ability to provide prognostic information to enable timely corrective maintenance scheduling.

Original languageEnglish
Title of host publication2008 International Conference on Prognostics and Health Management, PHM 2008
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Conference on Prognostics and Health Management, PHM 2008 - Denver, United States
Duration: 6 Oct 2008 → 9 Oct 2008

Publication series

Name2008 International Conference on Prognostics and Health Management, PHM 2008

Conference

Conference2008 International Conference on Prognostics and Health Management, PHM 2008
Country/TerritoryUnited States
CityDenver
Period6/10/08 → 9/10/08

Fingerprint

Dive into the research topics of 'Development of a sensor-based learning approach to prognostics in intelligent vehicle health monitoring'. Together they form a unique fingerprint.

Cite this