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Developing MATLAB Tools for Data Based Alarm Management and Causality Analysis

  • Author / Creator
    Amin, Md Shahedul
  • In this thesis, two Graphical User Interfaces (GUIs) are designed in MATLAB to perform causality analysis and alarm management. Finding out the root-cause of a fault scenario or an abnormality in a large industrial process typically requires one to logically analyze cause and effect relationships between variables. Causality analysis can play a vital role to capture process connectivity and topology and to identify relationships among the variables in a process. The availability of large volumes of industrial process data has now opened the way to develop data-driven methods for causality detection. In the first tool, different techniques of data visualization along with three data-driven methods of causality analysis, namely, cross-correlation, transfer entropy, and Granger causality, have been implemented. Case studies are provided to illustrate the capture of process connectivity using both transfer entropy and Granger causality methods. Recent studies have shown that the number of alarms in process industries is far more than the approved standards because of a very high number of false and nuisance alarms. The large number of alarms distracts the operator from safe and regulatory monitoring of the processes, which leads to plantwide upset and affects overall productivity of the system. Therefore root cause identification of faults and alarm management have become very important for process industries. The second tool for alarm management is proposed where historic alarm data can be used to find out the top bad actors in the system. Also functions for correlated alarms and similarity between different alarm flood analysis have been implemented in the GUI for easier root cause identification.

  • Subjects / Keywords
  • Graduation date
    2012-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3TD9NK3S
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Controls
  • Supervisor / co-supervisor and their department(s)
    • Shah, Sirish (Chemical and Materials Engineering)
    • Chen, Tongwen (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Lynch, Alan (Electrical and Computer Engineering)
    • Ardakani, Masoud (Electrical and Computer Engineering)