Generic expert system shell for diagnostic reasoning

Chu, Wei-Han

doi:10.1145/51909.51910

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…[143][144][145] The powerful, generic as well as hybrid expert systems for diagnosis and remodeling of existing systems are also been reported. [146][147][148] The design of expert system frameworks for medical treatment and prevention of high risks related with the human health widened the scope for implementation of fuzzy concept in medical field. 149 The studies on probabilistic interpretation and statistical analysis of medical data have been presented.…”

Section: Fuzzy Expert System Shells and Frameworkmentioning

confidence: 99%

Fuzzy Expert Systems (FES) for Medical Diagnosis

Sikchi¹,

Sikchi²,

Ali³

2013

IJCA

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Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems based on the expert's knowledge and observations. This paper reviews the trend in development of FES and application potential over past two and half decades in the medical field, based on the references of 173 articles from 124 journals, several proceedings and web media. In order to investigate the significance of FES for medical diagnosis, the articles are classified into five distinct categories: Reviews and Surveys on Fuzzy Expert Systems in Medical Diagnosis, Applications of Fuzzy Expert Systems in Medical Diagnosis, Methodologies and Modelling of Fuzzy Expert Systems, Neuro-Fuzzy Approaches, Fuzzy Expert System Shells and Frameworks. The development of disease specific applications using FES is observed to be the area of most significant interest of the researchers. The earlier contributions are reviewed, classified, analyzed and suggested the future scope.

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Section: Fuzzy Expert System Shells and Frameworkmentioning

confidence: 99%

Fuzzy Expert Systems (FES) for Medical Diagnosis

Sikchi¹,

Sikchi²,

Ali³

2013

IJCA

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“…Our framework is somewhat similar to that presented by Chu [16] and the TestBench ~ work by the Carnegie Group [17]. TestBench @ stresses fault classification modelling, while, we also emphasize a model of the troubleshooter's decision making which relies more on user initiative.…”

Section: Knowledge Representation and Reasoning Strategymentioning

confidence: 99%

“…( => current node in network: fuel filter (120 micron)) 16 (Since a physical change has occurred to the state of the engine, JETA needs to know if the engine flameout snag has been eliminated. In this case the repair has worked, the engine flameout node set to "done" and the user can either terminate the session or work on any other snags which might have occurred.)…”

Section: ) Response Windowmentioning

confidence: 99%

JETA: A knowledge-based approach to aircraft gas turbine engine maintenance

et al. 1992

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Aircraft gas turbine engine maintenance is a complex task requiring not only specialized technical skill but effective integration of many sources of information. Traditionally, military maintenance technicians make extensive use of common sense knowledge, equipment manuals, pilot reports, instrument readings, engine settings and physical observations. Reasoning based upon patterns in sensor data, case histories and past maintenance is infrequently carried out. Difficulties in maintenance arise from the need to quickly restore the engines to an operational state, the frequent reassignment of technicians and the awkward access to, and interpretation of, data. There is a need to overcome these factors.This paper describes a knowledge-based diagnostic system for military gas turbine aero-engines. The objectives were to develop a system which encodes the heuristics of technicians and to provide an expandable framework for automating the technical manuals and incorporating explanations, data interpretation, as well as case history and model-based reasoning. The eventual goal is to apply the system to the maintenance of complex mechanical equipment and have it reason, in an on-line mode, with data obtained from a data acquisition system.A description of the application area and the features of the system, in its current stage of development, are discussed. This paper will be of practical benefit to those developing knowledge-based maintenance systems for complex mechanical equipment.

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“…Note that our approach to explicit knowledge representation is similar in some ways to the approach taken by Chu in [Chu88]. However, Chu does not use a reasoning algorithm that traverses the diagnostic hierarchy in a manner as explicit as JETA's does.…”

Section: Explicit Knowledge Representationmentioning

confidence: 99%

Jet engine technical advisor (JETA)

Abu-Hakima

Davidson

Halasz

et al. 1989

Proceedings of the 2nd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Exper

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The paper describes a generalized knowledge-based tool for diagnosis which is currently being applied to jet engine maintenance. A domain dependent diagnostic tree is created for a particular jet engine by filling in an empty hypothesis frame for each diagnostic node in the tree. The knowledge in the tree is reasoned about using a generalized and explicit reasoning strategy. This strategy can be guided by rules specific to the activation of a particular diagnostic hypothesis in the tree.The user interacts with the system through a window interface which features definitions, glossary information, schematics and explanations of session reasoning, which are all linked to the knowledge contained in the system. A demonstration prototype which runs under the ART (LISP-based) environment on Symbolics 3620 and Sun 3/60 workstations was completed in December 1988. The preliminary prototype diagnoses a subset of the acceleration faults on the General Electric J85-CAN-15 jet engine and is being field tested and evaluated by potential users.

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Generic expert system shell for diagnostic reasoning

Cited by 6 publications

References 6 publications

Fuzzy Expert Systems (FES) for Medical Diagnosis

Fuzzy Expert Systems (FES) for Medical Diagnosis

JETA: A knowledge-based approach to aircraft gas turbine engine maintenance

Jet engine technical advisor (JETA)

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