Process Fault Diagnosis Based on Process Model Knowledge: Part II—Case Study Experiments

1991 ◽  
Vol 113 (4) ◽  
pp. 627-633 ◽  
Author(s):  
R. Isermann ◽  
B. Freyermuth
Keyword(s):  
Fault Diagnosis ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Process Models ◽  
Normal Operation ◽  
Problem Solution ◽  
Inference Mechanism ◽  
Process Knowledge ◽  
Fault Trees

A computer assisted fault diagnosis system (CAFD) is considered which allows the early detection and localization of process faults during normal operation or on request. It is based on an on-line engineering expert system and consists of an analytical problem solution, a process knowledge base, a knowledge acquisition component and an inference mechanism. The analytic problem solution uses a process parameter estimation, and the detection of process coefficient changes, which are symptoms of process faults. The process knowledge base is comprised of analytical knowledge in the form of process models and heuristic knowledge in the form of fault trees and fault statistics. In the phase of knowledge acquisition the process specific knowledge like theoretical process models, the normal behavior and fault trees is compiled. The inference mechanism performs the fault diagnosis, based on the observed symptoms, the fault trees, fault probabilities and the process history. This is described in Part I. In Part II, case study experiments with a d.c. motor, centrifugal pump, a heat exchanger and an industrial robot show practical results of the model based fault diagnosis.

Process Fault Diagnosis Based on Process Model Knowledge: Part I—Principles for Fault Diagnosis With Parameter Estimation

1991 ◽  
Vol 113 (4) ◽  
pp. 620-626 ◽  
Author(s):  
R. Isermann ◽  
B. Freyermuth
Keyword(s):  
Parameter Estimation ◽  
Fault Diagnosis ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Process Models ◽  
Problem Solution ◽  
Inference Mechanism ◽  
Process Knowledge ◽  
Fault Trees ◽  
Analytic Problem

A computer assisted fault diagnosis system (CAFD) is considered which allows the early detection and localization of process faults during normal operation or on request. It is based on an on-line engineering expert system and consists of an analytic problem solution, a process knowledge base, a knowledge acquisition component and an inference mechanism. The analytic problem solution uses a process parameter estimation, and the detection of process coefficient changes, which are symptoms of process faults. The process knowledge base is comprised of analytical knowledge in the form of process models and heuristic knowledge in the form of fault trees and fault statistics. In the phase of knowledge acquisition the process specific knowledge like theoretical process models, the normal behavior and fault trees, is compiled. The inference mechanism performs the fault diagnosis, based on the observed symptoms, the fault trees, fault probabilities and the process history. This is described in Part I. In Part II case study experiments with a d.c. motor, centrifugal pump, a heat exchanger, and an industrial robot show practical results of the model based fault diagnosis.

Capturing Process Knowledge for Multi-Channel Information Systems

2012 ◽  
Vol 3 (1) ◽  
pp. 78-98 ◽  
Author(s):  
Shang Gao ◽  
John Krogstie
Keyword(s):  
Early Stage ◽  
Process Models ◽  
System Support ◽  
Knowledge Capture ◽  
Process Knowledge ◽  
Starting Point ◽  
Channel Information ◽  
Further Development ◽  
Goal Models

In this paper, a case study is used to evaluate the business process characterizing modeling (BPCM) language. The BPCM-framework is meant to guide both business stakeholders and model developers during model-based development. The focus of the approach is the use of BPCM as a starting point for capturing process knowledge when planning and developing information system support. Based on information within the BPCM models, goal models and process models can be developed and used for further development of the BPCM model. The approach in this paper is evaluated using a case study related to the arrangement of a conference series. Through the case study, the authors have confirmed the potential usability and usefulness of BPCM for early stage knowledge capture, getting input for further improvement of the approach.

scholarly journals Software Process Ontology: A case study of software organisations software process sub domains

2019 ◽  
pp. 122-130
Author(s):  
R. O. Oveh ◽  
O. Efevberha-Ogodo ◽  
F. A. Egbokhare
Keyword(s):  
Knowledge Base ◽  
Software Process ◽  
Formal Representation ◽  
Specific Knowledge ◽  
Process Ontology ◽  
Process Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Intellectual Knowledge

In a domain like software process that is intensively knowledge driven, transforming intellectual knowledge by formal representation is an invaluable requirement. An improved use of this knowledge could lead to maximum payoff in software organisations which is key. The purpose of formal representation is to help organisations achieve success by modelling successful organisations. In this paper, Software process knowledge from successful organisations was harvested and formally modeled using ontology. Domain specific knowledge base ontology was produced for core software process subdomain, with its resulting software process ontology produced.

Fault Diagnosis of Rolling Bearing Based on Feature-Level Fusion Method

2013 ◽  
Vol 273 ◽  
pp. 260-263
Author(s):  
Ling Li Jiang ◽  
Hua Kui Yin ◽  
Si Wen Tang
Keyword(s):  
Fault Diagnosis ◽  
Rolling Bearing ◽  
Normal Operation ◽  
Fusion Method ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Study Results ◽  
Feature Level Fusion ◽  
Level Fusion

Bearing failure is one of the foremost causes of breakdowns in rotating machinery and such failure can be catastrophic. Fault diagnosis is critical to maintaining the normal operation of the bearings. This paper proposes feature-level fusion method for rolling bearing fault diagnosis. Features are extracted from eight vibration signals to constitute a fusion vector. SVM is used for pattern recognition. The case study results show that the proposed method is useful for rolling bearing fault diagnosis.

Research on Fault Knowledge Acquisition Base of Circuit Simulation

2012 ◽  
Vol 490-495 ◽  
pp. 1763-1766
Author(s):  
Gui Ming Tao
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Circuit Simulation ◽  
Simulation Software ◽  
System Level ◽  
Theoretical Research ◽  
Design Stage ◽  
System Level Simulation

To resolve bottle-net problem of knowledge acquisition of fault diagnoses expert system. This paper make use of circuit simulation software Multisim2001module modeling and simulating, acquiring fault data of electric control circuit of missile launching vehicle, acquiring correspondence relation of function-fault, establishing knowledge base of intelligent diagnostic expert system, affording a new thought to resolve knowledge acquisition of expert system. The fault diagnosis expert system is based on the knowledge base, but many fault diagnosis expert systems face the same problem: the knowledge of fault and fault maintenance is very poor. This causes many of intelligent fault diagnosis systems are still in the theoretical research or prototype design stage, and its use value is low, therefore, how to gain more significant and enough knowledge has turned to be the bottleneck which confine the engineering operational capability of fault diagnosis system[1] . This article will build an electrical system dynamic operational model of some equipment by circuit simulation. And it will do the direct current analysis, transient analysis etc. for the circuit by the software’s powerful analyze ability, include the setting of some devices’ voltage value, current value and test point, and gain the simulation parameters of normal conditions and fault conditions. Then lead these data into the database so as to the system to call and search, and confirm the fault node finally [2, 3]. The function simulation which is mentioned in this article is an ingredient of the equipment system simulation; structure simulation and movement simulation are also like it. And it contains system-level simulation, part-level simulation and component-level simulation in the hierarchical division. Because of the limited space, this article just considerate the electricity circuit simulation’s application in the fault knowledge acquisition, which is belong to the function simulation.

Case Study on Fault Diagnosis of the Actual Operating Transformer by FRA

2011 ◽  
Vol 131 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Takahiro Sano ◽  
Yoshiharu Ogawa ◽  
Takaaki Shimonosono ◽  
Tadayuki Wada
Keyword(s):  
Fault Diagnosis ◽  
Actual Operating

Wissensasymmetrien, Interaktionsrollen und die Frage der „gemeinsamen“ Sprache in der interdisziplinären Projektkommunikation

Fachsprache ◽  
2017 ◽  
Vol 33 (3-4) ◽  
pp. 187-204
Author(s):  
Nina Janich ◽  
Ekaterina Zakharova
Keyword(s):  
Process Models ◽  
Project Work ◽  
Common Language ◽  
Project Proposal ◽  
Communication Problems ◽  
Project Participants ◽  
Interdisciplinary Projects ◽  
Social Scientific ◽  
Initial Results

goal of the present discourse analysis is to report on the initial results of a DFG project on communication in interdisciplinary projects. Based on a case study, the following questions were investigated: 1) at what times or phases of a project communication problems occur, 2) what kinds of problems occur as a result of knowledge asymmetries, and 3) which interactive and discourse roles do participants take on when facing such problems? Three main conclusions can be drawn from the findings; first, that linguistic-communicative problems occurring in interdisciplinary projects are not simply a result of attempts to find a “common language”, but are grounded in issues of contextual, methodological, organisitory, and socio-pragmatic agreements. Second, these communication problems arise during the initial, preparatory phases of a project, earlier than social scientific process models suggest, i. e. as early as the writing and submission of the project proposal, as opposed to when the project work actually begins. Third, that these problems, induced by the inevitable presence of knowledge asymmetries among participants, must be resolved not only through active and consistent meta-communication, but also through meta-meta-communication. Evidence for these findings was gathered by means of interviews with project participants in which they reflected on the phase of jointly writing their project proposal from the perspective of their respective disciplines.

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