An artificial immune system with continuous-learning for voltage disturbance diagnosis in electrical distribution systems
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- 作者：Fernando P.A. Lima engfernandoparra@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Mara L.M. Lopes mara@mat.feis.unesp.br" class="auth_mail" title="E-mail the corresponding author ; Anna Diva P. Lotufo annadiva@ieee.org" class="auth_mail" title="E-mail the corresponding author ; Carlos R. Minussi ; minussi@dee.feis.unesp.br" class="auth_mail" title="E-mail the corresponding author ; crminussi@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Diagnosis ; Voltage disturbances ; Artificial immune systems ; Negative selection algorithm ; Clonal selection algorithm ; Continuous-learning ; Electrical distribution systems
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 September 2016
- 年：2016
- 卷：56
- 期：Complete
- 页码：131-142
- 全文大小：2550 K
文摘
- ass="listitem" id="list_celist0001">
- ass="label">•
ara0001">We propose a new artificial immune algorithm with continuous-learning.
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ara0002">This means to learn without reinitialization when occur new disturbances.
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ara0003">Application to voltage disturbance diagnosis in electrical distribution systems.
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ara0004">The results show robustness, precision and efficiency.