Intelligent sensing

Neural Network based health diagnosis for sensor arrays

Elena Gaura, R. M. Newman

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

9 Citations (Scopus)

Abstract

The paper discusses the appropriateness of local sensor health monitoring/sensor fault diagnosis and suggests an Artificial Intelligence (AI) based solution to the diagnosis of sensor faults, in the context of sensor arrays. In contradistinction with the "centralized" methods currently used process/system fault detection, the work presented here aims to establish a process independent and sensor specific methodology for detecting and isolating sensor failures and fault recovery. The intelligent system proposed integrates the adaptability and learning ability of Artificial Neural Networks with effective inter-sensor communication protocols. Micromachined accelerometers are considered as a case study.

Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2003), Vols 1 and 2
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages360-365
Number of pages6
ISBN (Print)0780377591
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics - Kobe, Japan
Duration: 20 Jul 200324 Jul 2003

Publication series

NameIEEE ASME International Conference on Advanced Intelligent Mechatronics
PublisherIEEE
ISSN (Print)2159-6255

Conference

ConferenceIEEE/ASME International Conference on Advanced Intelligent Mechatronics
CountryJapan
CityKobe
Period20/07/0324/07/03

Keywords

  • sensors
  • fault diagnosis
  • artificial intelligence
  • neural networks

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