This paper presents a fault classification method for transmission lines based on voltage phasors using classification and regression trees (CART). The proposed method is intended to aid system operators in understanding the outputs of a PMU only state estimator. Faults are classified into four categories when the estimator is positive sequence and into ten categories when the estimator is thre...

Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems Damiano Rotondo, Marcin Witczak, Vicenç Puig, Fatiha Nejjari & Marcin Pazera To cite this article: Damiano Rotondo, Marcin Witczak, Vicenç Puig, Fatiha Nejjari & Marcin Pazera (2016): Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems, Internationa...

An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and certain new methods are introduced. The methods are classified, and their features and operation are discussed. Their practicality and effectiveness are demonstrated through brief presentations of three case studies pertaining to fault ...

This paper presents a procedure to obtain patterns from propagating signals in a SSSC FACTS device. The acquired patterns are suitable for neural network relay protection schemes for Fault Detection (FD), Phase Classification (PC) and Fault Zone Estimation (FZE). By considering two fault scenarios, the patterns are obtained through digital simulations which include effects of transducers and no...

A generic method to develop a defect monitoring system for IC processes, A comparison of new and old algorithms for a mixture estimation problem, The numerical evaluation of the maximum-likelihood estimate of a subset of mixture proportions, [19] LOQO an efficient implementation of an interior-point method for large scale linear and/or quadratic programming problems, available via ftp://elib.zi...

In this paper, an actuator fault estimation problem is tackled, based on the LPV approach. First, the actuator fault is modeled in the form of a multiplicative fault by using a constant coefficient representing the loss of efficiency of the actuator’s power α. Therefore, the estimation of a time varying faulty actuator can be transformed into the estimation of a constant coefficient α. Then, th...

The paper integrates demands for safe processing and fault detection techniques. An early detection of the fault occurrence is vitally important since it contributes to avoidance of product deterioration, performance degradation, major damages to the machinery itself and damages to human health or even loss of lives. Some fault detection methods using analytical redundancy are described and pri...

Dynamic trend analysis is an important technique for fault detection and diagnosis. Trend analysis involves hierarchical representation of signal trends, extraction of the trends, and their comparison (estimation of similarity) to infer the state of the process. In this paper, an overview of some of the existing methods for trend extraction and similarity estimation is presented. A novel interv...

This paper proposes a new scheme of induction motor parameter estimation using Genetic algorithm (GA) for condition monitoring. The flux linkage model and torque model of an induction motor is adapted to the estimation. The scheme is developed to obtain all the motor parameters: stator and rotor resistance, stator and rotor leaking reactance and magnetizing reactance, which paves the way to dia...