Fault diagnosis of Pakistan Research Reactor-2 with data-driven techniques
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- 作者：Farhan Jamila ; msne1324@pieas.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Muhammad Abida ; mabid@pieas.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Inamul Haqa ; fac185@pieas.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Abdul Qayyum Khana ; aqkhan@pieas.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Masood Iqbalb ; masood@pinstech.org.pk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Research reactors ; Fault diagnosis ; Principle component analysis ; Fisher discriminant analysis
- 刊名：Annals of Nuclear Energy
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：90
- 期：Complete
- 页码：433-440
- 全文大小：669 K
文摘
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A study of possible faults that may appear in PARR-2 is presented.
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Review of fault diagnosis techniques with focus on PCA and FDA is presented.
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PCA and FDA models are trained with the real sensor data collected from PARR-2.
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The trained models applied to online sensor data demonstrated successful diagnosis.