Affiliation:
1. Department of Process Engineering, Faculty of Technology, University Ammar Telidji, Laghouat, Algeria
Abstract
Abstract:
The development in the field of electrical energy has been growing increasingly due to
the need for this energy in daily life. The reliability and safety of electrical power systems and
equipment represent complex problems that are difficult to solve by conventional methods such as
Fuzzy Logic and Artificial Neural Networks. Bayesian network is recently used to overcome some
limitations in conventional methods. This paper represents a bibliographic review about the use of
Bayesian networks in the field of electric systems. This paper seeks to answer the following questions:
(i) What are the areas of interest? (ii) What are the most active countries in this field?? (iii)
Who are the most participating authors in this field? (iv) which year witnessed the largest number of
publications? (v) What is the most widespread field related to this research? (vi) What is the most
used system in terms of application? This field witnesses a slight increase in the number of publications
in the last two decades (1999–2021), with a note of a sharp increase in publishing in the last
two years. It is observed that reliability assessment and fault diagnosis are the most common fields.
Furthermore, it is found that China and USA are the active countries in this field. Electric Power and
Energy Systems Journal and IEEE Transactions on Power Systems Journal are the lead source documents,
and most of the documents used electric power systems as an application. This paper will
help researchers to know the versability features of BN and to identify the gaps in the use of BN in
electric domains.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
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