Electronic Circuits Diagnosis Using Artificial Neural Networks

Abstract

When we expect about something that does not treat as it should be, we are initiating the process of diagnosis. Diagnosis is a commonly used activity in our everyday lives (Benjamins & Jansweijer, 1990). Complicated systems are always prone to faults or failures. In the simplest term, a fault is every change in a system that prevents it from operating in the proper manner. We define diagnosis as the task of identifying the cause and location of a fault manifested by some observed behaviour. Basically this is two-stage process: first the fact that fault has occurred must be recognized – this is referred to as fault detection. That is, in general, achieved by testing. Secondly, the nature and location should be determined such that appropriate remedial action may be initiated.

Authors and Affiliations

Yogesh Kumar| Research Scholar, Dr. K. N. Modi University, Rajasthan, INDIA singhyogesh2002@yahoo.co.in

Keywords

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  • EP ID EP16537
  • DOI -
  • Views 320
  • Downloads 11

How To Cite

Yogesh Kumar (2015). Electronic Circuits Diagnosis Using Artificial Neural Networks. International Journal of Science Engineering and Advance Technology, 3(8), 393-402. https://europub.co.uk/articles/-A-16537