Diagnostic Row Reasoning Method Based on Multiple-Valued Evaluation of Residuals and Elementary Symptoms Sequence

Jan Maciej Kościelny, Michał Syfert and Paweł Wnuk
Additional contact information
Jan Maciej Kościelny: Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8, 02-525 Warszawa, Poland
Michał Syfert: Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8, 02-525 Warszawa, Poland
Paweł Wnuk: Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology, św. A. Boboli 8, 02-525 Warszawa, Poland

Energies, 2021, vol. 14, issue 9, 1-18

Abstract: The paper analyses the research problem of conducting diagnostic reasoning for dynamic objects to eliminate the possibility of formulating false diagnoses resulting from different delays of the symptoms related to a particular fault while simultaneously striving to obtain high distinguishability. The research aimed to develop a new diagnostic inference method robust to symptom delays and characterised by high accuracy of generated diagnosis. Known methods ensuring the correctness of inference in the case of symptom delays but at the cost of reducing distinguishability of faults have been characterised. A new inference method was developed, which uses the three-valued residual evaluation and knowledge regarding elementary symptom sequences. A formal description of the diagnosing system and the proposed method are given. The method of obtaining the knowledge about the order of symptoms based on a cause-and-effect graph and was characterised. The method’s effectiveness was presented in simulation studies on the example of diagnosing a set of serially connected tanks. The comparison of the fault distinguishability obtained using the proposed method and other approaches illustrates the new method’s advantages.

Keywords: fault isolation; diagnostic reasoning; industrial processes; symptoms dynamics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/9/2476/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/9/2476/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:9:p:2476-:d:543801

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().