A combined diagnosis system design using model-based and data-driven methods

Daniel Jung, Kok Ng Ng, Erik Frisk, Mattias Krysander

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

8 Citations (Scopus)

Abstract

A hybrid diagnosis system design is proposed that combines model-based and data-driven diagnosis methods for fault isolation. A set of residuals are used to detect if there is a fault in the system and a consistency-based fault isolation algorithm is used to compute all diagnosis candidates that can explain the triggered residuals. To improve fault isolation, diagnosis candidates are ranked by evaluating the residuals using a set of one-class support vector machines trained using data from different faults. The proposed diagnosis system design is evaluated using simulations of a model describing the air-flow in an internal combustion engine.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages177-182
Number of pages6
ISBN (Electronic)978-1-5090-0658-8
ISBN (Print)9781-5090-0657-1, 978-1-5090-0659-5
DOIs
Publication statusPublished - 10 Nov 2016
Event2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Barcelona, Spain - Barcelona, Spain
Duration: 17 Jun 2016 → …

Conference

Conference2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Barcelona, Spain
Period17/06/16 → …

Keywords

  • fault diagnosis
  • model-based
  • data-driven
  • vehicular system

Fingerprint Dive into the research topics of 'A combined diagnosis system design using model-based and data-driven methods'. Together they form a unique fingerprint.

  • Profiles

    No photo of Mark Ng

    Mark Ng

    Person: Academic

    Research Output

    • 8 Citations
    • 1 Conference contribution

    Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System

    Ng, K. Y., Frisk, E. & Krysander, M., 5 May 2020, 7th International Conference on Control, Decision and Information Technologies (CoDIT’20). IEEE

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

    Open Access
    File
  • Cite this

    Jung, D., Ng, K. N., Frisk, E., & Krysander, M. (2016). A combined diagnosis system design using model-based and data-driven methods. In Unknown Host Publication (pp. 177-182). IEEE. https://doi.org/10.1109/SYSTOL.2016.7739747