Mode identification of hybrid systems in the presence of fault

Shai A. Arogeti, Danwei Wang, Chang Boon Low

Research output: Contribution to journalArticlepeer-review

55 Scopus citations


A mode identification method for hybrid system diagnosis is proposed. The method is presented as a module of a quantitative health monitoring framework for hybrid systems. After fault occurrence, the fault is detected and isolated. The next step is fault parameters estimation, where the size of the fault is identified. Fault parameter estimation is based on data collected from the hybrid system while the system is faulty, and its dynamical model is partially unknown. A hybrid system's dynamics consists of continuous behavior and discrete states represented by modes. Fault parameter estimation requires knowledge of the monitored system's operating mode. The new method utilizes the partially known dynamical model to identify hybrid system modes in the presence of a single parametric fault.

Original languageEnglish
Article number5229189
Pages (from-to)1452-1467
Number of pages16
JournalIEEE Transactions on Industrial Electronics
Issue number4
StatePublished - 1 Apr 2010


  • Fault detection and isolation (FDI)
  • Global analytical redundancy relations (GARRs)
  • Hybrid system
  • Mode identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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