scholarly journals An Application of an Expert Method for M-28 Aircraft Maintenance Support / Zastosowanie Metody Ekspertowej Do Wspomagania Eksploatacji Samolotu M-28

2014 ◽  
Vol 31 (1) ◽  
pp. 5-12
Author(s):  
Piotr Golański

Abstract A concept of an expert system that can be used for supporting aircraft diagnostic and maintenance processes is presented in the paper. The paper discusses general principles of an expert system creation as well as main tools used for implementation of such a system. A method of application of one of those tools - CLIPS expert system shell, for solving M-28 aircraft maintenance problems is presented in the paper.

HortScience ◽  
1991 ◽  
Vol 26 (6) ◽  
pp. 697C-697
Author(s):  
K. Bergsma ◽  
S. Sargent ◽  
J. Brecht ◽  
R. Peart

Temperature management is the most widely used method to extend the postharvest life of vegetables. Unfortunately, during less than optimal commercial conditions, certain commodities can be exposed to low, nonfreezing temperatures that may shorten their market life due to chilling injury (CI). CI is difficult to diagnose since not all commodities exhibit the same symptoms. Environmental factors may also affect the expression of CI The services of an expert are usually required to positively diagnose CI, however, experts are not always readily available, particularly during routine commercial handling. An expert system, a computer program that emulates a human expert's thought processes, will be developed to diagnose CI symptoms for several commodities. A prototype developed with Level5 Object, an expert system shell, will be presented. Diagnosis is determined by applying rules and certainty factors based on user responses to queries on the type and extent of visual symptoms. The applicability and advantages of this system will be discussed.


1988 ◽  
Vol 23 (6) ◽  
pp. 35-38
Author(s):  
Victor Schneider

1988 ◽  
Vol 27 (01) ◽  
pp. 23-33 ◽  
Author(s):  
Fiorella de Rosis ◽  
G. Steve ◽  
C. Biagini ◽  
R. Maurizi-Enrici

SummaryThe decision process for diagnosis and treatment of Hodgkin’s disease at the Institute of Radiology of Rome has been modelled integrating the guidelines of a protocol with uncertainty aspects. Two models have been built, using a PROSPECTOR-like Expert System shell for microcomputers: the first of them treats the uncertainty by the inferential engine of the shell, the second is a probabilistic model. The decisions suggested in a group of simulated and real cases by a section of the two models have been compared with an “objective” final diagnosis; this analysis showed that, in some cases, the two models give different suggestions and that “approximations” of the shell’s inferential engine may induce wrong conclusions. A sensitivity analysis of the probabilistic model showed that the outputs are greatly influenced by variations of parameters, whose subjective estimation appears to be especially difficult. This experience gives the opportunity to consider the risks of building clinical decision models based on Expert System shells, if the assumptions and approximations hidden in the shell have not been previously analyzed in a careful and critical way.


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