In this paper, an approach to design an Admissible Model Matching (AMM) Fault Tolerant Control (FTC) based on Linear Parameter Varying (LPV) fault representation is proposed. The main contribution of this approach is to consider the fault as a scheduling variable that allows the controller reconfiguration online. The fault is expressed as a change in the system dynamics (in particular, in the m...

this paper presents a fault location technique for transmission lines with minimum current measurement. this algorithm investigates proper current ratios for fault location problem based on thevenin theory in faulty power networks and calculation of short circuit currents in each branch. these current ratios are extracted regarding lowest sensitivity on thevenin impedance variations of the netw...

Bayesian estimation techniques are finding application domains in machinery fault diagnosis and prognosis of the remaining useful life of a failing component/subsystem. This paper introduces a methodology for accurate and precise prediction of a failing component based on particle filtering and learning strategies. This novel approach employs a state dynamic model and a measurement model to pre...

Software quality estimation models, used to predict the fault-proneness of software modules based on software metrics, are often constructed by training a classifier from labeled software metrics data. Two challenges often encountered in building an accurate model are the presence of “noisy” data and the possible unavailability of fault-proneness labels in real-world projects. The performance o...

This paper aims to solve the fault tolerant control problem of a wind turbine benchmark. A hierarchical controller with model predictive pre-compensators, a global model predictive controller and a supervisory controller is proposed. In the model predictive pre-compensator, an extended Kalman Filter is designed to estimate the system states and various fault parameters. Based on the estimation,...

Fault detection via parameter estimation relies in the principle that possible faults in the monitored system can be associated with specific parameters and states of the mathematical model of the system given in the form of an input-output relation: y(t)=f(u,e,θ,x) where y(t) represents the output vector of the system, u(t) the input vector, x(t) the state variables which are partially measura...

This paper presents a new fault tolerant control scheme for unknown multivariable stochastic systems by modifying the conventional state-space self-tuning control approach. For the detection of faults, a quantitative criterion is developed by comparing the innovation process errors occurring in the Kalman filter estimation algorithm, which, for faulty system recovery, a weighting matrix resetti...

In this paper an innovative algorithm for the transmission line parameter estimation is presented. The important factors, such as synchronisation, processing of non-stationary signals and phasor estimation that are affecting the estimation accuracy have been addressed in the paper, and the set of pre-processing tools have been proposed. The new algorithm is tested using practical fault records....