Name
Abstract | ||
|---|---|---|
In this paper, a novel model-based fault detection (FD) and prediction scheme is developed for a class of Takagi-Sugeno (T-S) fuzzy systems. Unlike other FD schemes, in the proposed design, an FD observer with online fault learning capability is utilized to generate a residual which is obtained by comparing the system output with respect to the observer output. A fault is declared active if the generated residual exceeds an a priori chosen threshold. Subsequently, the fault magnitude is estimated online by using a suitable parameter update law. Upon detection, the online estimate of the fault magnitude is used in a mathematical equation to determine time-to-failure (TTF) or remaining useful life. TTF is determined by projecting the estimated fault magnitude at the current time instant against a failure threshold. Note that the previously reported FD schemes could neither estimate the magnitude of a growing fault in real time nor were they able to predict the remaining useful life of the fuzzy system. In this paper, the stability of the proposed FD and prognostics scheme is verified using the Lyapunov theory. Finally, two different simulation case studies are considered to verify the theoretical conjectures presented in this paper. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TFUZZ.2013.2272584 | Fuzzy Systems, IEEE Transactions |
Keywords | Field | DocType |
Lyapunov methods,failure analysis,fault diagnosis,fuzzy systems,learning systems,observers,stability,FD observer,Lyapunov theory,T-S fuzzy systems,TTF,Takagi-Sugeno fuzzy systems,active fault,failure threshold,fault magnitude estimation,fault prediction,fault prognostics,mathematical equation,model-based fault detection,observer output,online fault learning capability,parameter update law,remaining useful life,residual generation,stability,system output,time-to-failure,Fault detection (FD),Lyapunov stability,fuzzy systems,prognostics | Lyapunov function,Residual,Magnitude (mathematics),Prognostics,Control theory,Fault detection and isolation,A priori and a posteriori,Fuzzy control system,Observer (quantum physics),Mathematics | Journal |
Volume | Issue | ISSN |
22 | 4 | 1063-6706 |
Citations | PageRank | References |
14 | 0.71 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Balaje T. Thumati | 1 | 15 | 1.86 |
| Miles A. Feinstein | 2 | 14 | 0.71 |
| Sarangapani Jagannathan | 3 | 1136 | 94.89 |