Frequent alarm pattern mining of industrial alarm flood sequences by an improved prefixspan algorithm

HIGHLIGHTS

  • who: Songbai Yang and colleagues from the Petrochina Tarim Petrochemical Co, Ltd, Korla, China Control Engineering Centre of Nanjing Tech University, Nanjing, China have published the article: Frequent Alarm Pattern Mining of Industrial Alarm Flood Sequences by an Improved PrefixSpan Algorithm, in the Journal: Processes 2023, 11, x FOR PEER REVIEW of /2023/
  • what: To solve these problems the authors propose an alarm pattern extraction method based on the improved PrefixSpan algorithm. The authors propose a pre-matching mechanism based on the similarity scores of pairwise alarm sequences, which can effectively reduce the computational cost . . .

     

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