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DOI: 10.14569/IJARAI.2014.030902
PDF

Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board

Author 1: Mr.D. V. Kodavade
Author 2: Dr. Mrs.S.D.Apte

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 9, 2014.

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Abstract: With the acceptance of artificial intelligence paradigm, a number of successful artificial intelligence systems were created. Fault diagnosis in microprocessor based boards needs lot of empirical knowledge and expertise and is a true artificial intelligence problem. Research on fault diagnosis in microprocessor based system boards using new fuzzy-object oriented approach is presented in this paper. There are many uncertain situations observed during fault diagnosis. These uncertain situations were handled using fuzzy mathematics properties. Fuzzy inference mechanism is demonstrated using one case study. Some typical faults in 8085 microprocessor board and diagnostic procedures used is presented in this paper.

Keywords: Expert Systems; fuzzy; Inference; Knowledge base

Mr.D. V. Kodavade and Dr. Mrs.S.D.Apte, “Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(9), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030902

@article{Kodavade2014,
title = {Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030902},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030902},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {9},
author = {Mr.D. V. Kodavade and Dr. Mrs.S.D.Apte}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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