Two practical performance indexes for monitoring the Rhine-Meuse Delta water network via wavelet-based probability density function
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- 作者：Mojtaba Kordestani ; 1 ; mojtaba.kordestani@shirazu.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ali Akbar Safavi1 ; safavi@shirazu.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Narjes Sharafi1 ; Nrjsharafi@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Performance indexes ; Monitoring ; Density function
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：12 February 2016
- 年：2016
- 卷：177
- 期：Complete
- 页码：469-477
- 全文大小：1594 K
文摘
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The Rhine–Meuse Delta water network is a large scale system.
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This paper presents control performance assessment for the Rhine–Meuse Delta water network.
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Two new data driven performance indexes are considered for monitoring the system.
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The performance indexes are designed based on wavelet-based probability density function.
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Simulation results show the ability of the suggested methods in detecting the floods.