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Research and application of hierarchical diagnosis model based on parameter estimation

  • Ruo Ming An*
  • , Xing Wei Jiang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aimmed at the complexity of multiple faults diagnosis for the large-scale system, a simplified hierarchical model, which was established by the abstraction technique, was put forward to carry out diagnosis. The abstraction technique was divided into structural abstraction and behavior abstraction. The structural abstraction was based on the method of system description. The parameter model of Box-Jenkins modeling method was used for behavior abstraction. The establishing method of abstraction tree, which is a formalization of hierarchical model, was introduced. The corresponding relationships of variable parameters between different hierarchical parameter models and the top-down hierarchical diagnosis strategy were utilized for the fault diagnosis. The results of simulation show that the computation amount is reduced and the diagnosis efficiency is improved.

Original languageEnglish
Pages (from-to)1078-1080
Number of pages3
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume18
Issue number4
StatePublished - Apr 2006

Keywords

  • Abstraction technique
  • B-j's model
  • Fault diagnosis
  • Hierarchical model
  • Parameter estimation
  • Power system

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