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  • 标题:Computation of Alarm Relevant Probabilities Using Geometric Random Variable Modeling
  • 本地全文:下载
  • 作者:Nishanth Mundru ; Ramkrishna Ghosh ; Mani Bhushan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:2866-2871
  • DOI:10.1016/j.ifacol.2017.08.641
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractOptimally designed alarm systems In this work, we derive expressions for probabilities of detecting alarms with various delays when on-delay timer is used. In the on-delay timer strategy, an alarm is generated if thresholds are violated fornconsecutive instants with n being user specified. We rigorously derive the probability expressions using geometric random variable modeling. The derived expressions are shown to be identical to those available in literature using Markov chain modeling. Use of geometric random variable enables us to obtain a recursive form for these expressions which offers insights about the variation in probabilities as a function of the delay.
  • 关键词:KeywordsAlarm designdetection delayMarkov chain
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