Combining FAP, MAP and correlation analysis for multivariate alarm thresholds optimization in industrial process

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Combining FAP, MAP and correlation analysis for multivariate alarm thresholds optimization in industrial process

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作者：Liu Han^a ; ^b ; Huihui Gao^a ; ^b ; Yuan Xu^a ; ^b ; ^{xyfancy@163.com" class="auth_mail" title="E-mail the corresponding author} ; Qunxiong Zhu^a ; ^b ; ^{zhuqx_buctielab@163.com" class="auth_mail" title="E-mail the corresponding author}
关键词：Multivariate alarm thresholds ; Time delay estimation ; False alarm probability ; Missed alarm probability
刊名：Journal of Loss Prevention in the Process Industries
出版年：2016
出版时间：March 2016
年：2016
卷：40
期：Complete
页码：471-478
全文大小：836 K

文摘

class="label">•: An alarm threshold optimization strategy is presented to control alarm floods.
class="label">•: The optimized variables are selected based on time delay estimation.
class="label">•: Objective function is established based on FAP, MAP and correlation analysis.
class="label">•: Genetic algorithm is employed to get the optimal thresholds.
class="label">•: The Tennessee Eastman process is applied to reveal the advantages of the method.

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