Active Fault Diagnosis for Jump Markov Nonlinear Systems

Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties

Stringent requirements on safety and availability of high-performance systems necessitate reliable fault detection and isolation in the event of system failures. This paper investigates active fault diagnosis of nonlinear systems with probabilistic, time-invariant uncertainties of the parameters and initial conditions. A probabilistic model-based approach is presented for the design of auxiliar...

Fault Diagnosis for Nonlinear Systems

Fault Diagnosis for Nonlinear Hessenberg Systems

This paper deals with the problem of fault detection and isolation for nonlinear Hessenberg systems. In particular, the first part of the FDI problem associated with the disturbance decoupling transformation is considered. The approach is based on a relation between the relative degree from the unknown input to the output variables for nonlinear Hessenberg systems. The major advantage for this ...

Online fault diagnosis for nonlinear power systems

This paper considers the problem of automatic fault diagnosis for transmission lines in large scale power networks. Since faults in transmission lines threatens stability of the entire power network, fast and reliable fault diagnosis is an important problem in transmission line protection. This work is the first paper exploiting sparse signal recovery for the fault-diagnosis problem in power ne...

Probabilistic Fault Diagnosis for Nonlinear Stochastic Systems

The paper focuses on fault detection and isolation (FDI) in stochastic nonlinear systems using Bayesian statistics. The main concept of this approach leans on a probabilistic model, which estimates the occurrences of faults by probabilities. The methodology consists in probabilistic mapping of the measured data into a fault variable, which acts as an indicator of considered modes of the systems...