NDLI: Graph of a Process—A New Tool for Finding Model Structures in a Model-Based Diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Sztyber, A. Ostasz, A. Koscielny, J.M.
Copyright Year	2013
Abstract	In this paper, graph of a process (GP) is introduced as a new formalization of causal graph useful in fault diagnosis. Faults are directly incorporated into the model. In this paper, we propose the concept of model structure (MS), which can be used for building fuzzy and neural models for fault detection. Algorithms for finding all MSs and methods for determining faults-symptoms relation are developed. This method is applicable to the design of model-based diagnostic systems, when only basic knowledge of the process to be diagnosed is available. No mathematical model is needed. This paper shows that GP can be constructed on the basis of process diagrams and expert knowledge. Models for fault detection can be built automatically from process measurements. Ideas are explained on a three-tank system example. In the last section, our proposed method is compared in detail with other existing approaches using qualitative models.
Starting Page	1004
Ending Page	1017
Page Count	14
File Size	2387884
File Format	PDF
ISSN	21682216
Volume Number	45
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Valves Fault detection Computational modeling Fault diagnosis Distillation equipment Temperature measurement redundancy Causal graphs fault diagnosis model structure (MS) qualitative modeling
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications Software

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