Correlation degree and clustering analysis-based alarm threshold optimization

HIGHLIGHTS

  • who: Guixin Zhang and Zhenlei Wang from the Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China have published the research work: Correlation Degree and Clustering Analysis-Based Alarm Threshold Optimization, in the : Processes 2022, 224 of /2022/
  • what: Based on the test observations, an offline simple and robust approach was proposed to determine the detection thresholds for detecting defluidization in the early stage . In view of the problem, a new alarm threshold optimization method is proposed, which uses the correlation degrees among the variables and clustering analysis.
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