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Intelligent sensing: Neural network based health diagnosis for sensor arrays

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

    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 fault, 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. © 2003 IEEE.
    Original languageEnglish
    Title of host publication2003 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings
    PublisherIEEE
    Pages360-365
    Number of pages6
    DOIs
    Publication statusPublished - 4 Sept 2003
    EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics - Kobe, Japan
    Duration: 20 Jul 2003 → 24 Jul 2003

    Conference

    ConferenceIEEE/ASME International Conference on Advanced Intelligent Mechatronics
    Abbreviated titleAIM 2003
    Country/TerritoryJapan
    CityKobe
    Period20/07/03 → 24/07/03

    Keywords

    • Artificial intelligence
    • Failure analysis
    • Intelligent mechatronics
    • Intelligent networks
    • Intelligent systems
    • Monitoring
    • Neural networks
    • Sensor arrays, Health diagnosis
    • Health monitoring
    • Intelligent sensing
    • Intelligent sensors
    • Learning abilities
    • Micromachined accelerometers
    • Sensor communication
    • Sensor systems, Fault detection

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