Expert Systems: Misconceptions and Reality

Dankel, Douglas D.

doi:10.4271/860334

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Expert systems are best at solving problems which require an understanding of how the components relate to each other. Expert systems can also be consistent, and may provide insights that the expert might overlook [19]. However, a great deal o f knowledge must be assembled to build an expert system that approaches the performance of an expert mechanic.…”

Section: Knowledge-based Diagnosismentioning

confidence: 99%

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The Application of Fuzzy Logic to the Diagnosis of Automotive Systems

Soliman

Krishnaswami

Rizzoni

1997

SAE Technical Paper Series

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This manuscript has been reproduced from the microfilm master. UMI films the t«rt directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type o f computer printer. The quality o f th is reproduction is dependent upon the quality o f the copy subm itted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand com er and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back o f the book. Photographs included in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order.

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Section: Knowledge-based Diagnosismentioning

confidence: 99%

“…However, a great deal o f knowledge must be assembled to build an expert system that approaches the performance of an expert mechanic. The principal drawbacks of expert systems as summarized in [19]:…”

Section: Knowledge-based Diagnosismentioning

confidence: 99%

The Application of Fuzzy Logic to the Diagnosis of Automotive Systems

Soliman

Krishnaswami

Rizzoni

1997

SAE Technical Paper Series

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“…The drawback, however, in every instance has been the fact that ESs developed to date have tackled problems in very small domains. Dankel[56] provided a few common misconceptions that exist about ESs. Most operations management problems, however, are not isolated problems by their very nature.…”

Section: Some Limitations Of the Es To Solve Pom Problemsmentioning

confidence: 99%

Expert systems in production and operations management

Jayaraman

Srivastava²

1996

International Journal of Operations &Amp; Production Management

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Defines an expert system (ES) as a decision‐making tool that captures perishable expertise from an expert and stores this knowledge in the computer, and also as a computer system that can solve problems using human expertise and knowledge of the system environment. Notes that expert systems have found many applications in the area of production and operations management (POM). Explains the key role of the ES as a management tool to enhance productivity, improve quality, increase profits and capture expertise in many business settings. Highlights that the field of POM has a heavy orientation towards problem solving and decision making, hence it is a very fertile area for application for ES. Evaluates the current use of ES in POM and discusses future prospects.

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“…In the past three years, many papers have appeared on applying AI techniques to engineering problems especially in the aerospace and automotive industries (3,4,5,6,7,8,9,10,11,12). Many of these applications involve developing expert design systems such as EXFAN (13) for the design of cooling flow fans or LOKI (14) for the design of aircraft wings in which all of the information needed to design the component is encapsulated in a series of rules.…”

mentioning

confidence: 99%

Initial User Experience With an Artificial Intelligence Program for the Preliminary Design of Centrifugal Compressors

Russo

Nicklaus

Tong

1987

Volume 1: Turbomachinery

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A new approach is evaluated for the design of turbomachinery components using existing analysis codes coupled to a generic Artificial Intelligence (AI) software framework called ENGINEOUS. This AI framework uses intelligent search techniques with a small set of basic component design rules to iterate to an optimized solution and to quantify parameter trade-offs. Initial experience with ENGINEOUS indicates that it is a powerful design tool which quickly identifies non-obvious solutions balanced for conflicting multiple goals in a small number of iterations which vary linearly with the number of variables. The solution path and driving logic are easily visible to the designer and a parameter study option can rapidly quantify potential design trade-offs which together allow a critique of the selected design to balance performance against development risks. Because this AI design approach fosters intelligent interface with the designer and is generic, the potential application areas and productivity benefits appear enormous.

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Expert Systems: Misconceptions and Reality

Cited by 6 publications

References 7 publications

The Application of Fuzzy Logic to the Diagnosis of Automotive Systems

The Application of Fuzzy Logic to the Diagnosis of Automotive Systems

Expert systems in production and operations management

Initial User Experience With an Artificial Intelligence Program for the Preliminary Design of Centrifugal Compressors

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