Abstract
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 language | English |
---|---|
Article number | 5229189 |
Pages (from-to) | 1452-1467 |
Number of pages | 16 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 57 |
Issue number | 4 |
DOIs | |
State | Published - 1 Apr 2010 |
Keywords
- 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