Diagnostic Column Reasoning Based on Multi-Valued Evaluation of Residuals and the Elementary Symptoms Sequence

The paper concerns a significant problem in the diagnostics of industrial processes, which is the need to achieve high fault distinguishability. High distinguishability results in the generation of precise diagnoses that enable making appropriate security decisions. In the known approaches, the effo...

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Bibliographic Details
Main Authors: Kościelny, J.M (Author), Syfert, M. (Author), Wnuk, P. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 19961073 (ISSN) 
245 1 0 |a Diagnostic Column Reasoning Based on Multi-Valued Evaluation of Residuals and the Elementary Symptoms Sequence 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15072614 
520 3 |a The paper concerns a significant problem in the diagnostics of industrial processes, which is the need to achieve high fault distinguishability. High distinguishability results in the generation of precise diagnoses that enable making appropriate security decisions. In the known approaches, the efforts to obtain high distinguishability are focused on the selection of an appropriate set of generated residuals. The paper presents a new method of diagnostic reasoning using the notation of faults/diagnostic signals’ relations in the form of a Fault Isolation System (FIS), which enables the use of multivalent diagnostic signals. In addition, the proposed method uses knowledge (usually incomplete) about the sequence of symptoms. Reasoning was carried out on the basis of simple, physically possible signatures, resulting from the FIS. Assumptions and a diagnostic algorithm are given. The reasoning algorithm works in a step-by-step manner, after observing further symptoms. In each reasoning step, two diagnoses are generated in parallel. A more accurate, but less certain diagnosis is formulated on the basis of the value of all diagnostic signals, and the diagnosis is less accurate, but more reliable, solely on the basis of symptoms. An example of using the method for diagnosing a set of connected liquid tanks is given. The method was compared with other reasoning methods based on columns (signatures) and, also, with row-based reasoning methods. It is shown that the proposed method allows the increase of the distinguishability of faults compared to other methods. The distinguishability grows with the knowledge of elementary symptom sequences. It is also noted that the proposed approach makes possible diagnosing not only faults, but also cyber attacks. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a diagnostic reasoning 
650 0 4 |a Diagnostic reasoning 
650 0 4 |a Diagnostics of industrial process 
650 0 4 |a Distinguishability 
650 0 4 |a fault detection 
650 0 4 |a Fault detection 
650 0 4 |a fault diagnosis 
650 0 4 |a fault isolation 
650 0 4 |a Fault isolation 
650 0 4 |a Faults detection 
650 0 4 |a Faults diagnosis 
650 0 4 |a Faults diagnostics 
650 0 4 |a Isolation systems 
650 0 4 |a Multi-valued 
650 0 4 |a Network security 
650 0 4 |a Reasoning methods 
700 1 0 |a Kościelny, J.M.  |e author 
700 1 0 |a Syfert, M.  |e author 
700 1 0 |a Wnuk, P.  |e author 
773 |t Energies