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Proceedings ArticleDOI

A survey of fault detection and isolation in wind turbine drives

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TLDR
In this paper, the authors used the generalized observer scheme and dedicated observer scheme to detect and isolate multiple sensor faults in a doubly fed induction generator, a commonly used generator in wind turbines kalman filter is used to detect the sensor fault.
Abstract
The momentous need for optimal operational and maintenance costs of wind energy drives can be accomplished by efficient monitoring of these systems. This allows us to detect the deterioration of the wind energy conversion system's health in early stage. As the frequent inaccessibility of the wind generators due to their positioning heights and as well as the rapid development in offshore wind farms triggering the importance of condition supervision and diagnosis of faults in wind energy conversion systems (WECS). To handle any fault occurred in the current sensor of doubly fed induction generator, a commonly used generator in wind turbines kalman filter is used to detect the sensor fault. Using the generalized observer scheme and dedicated observer scheme the detection and isolation of multiple sensor faults was explained.

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Citations
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Journal ArticleDOI

A review of the state-of-the-art in wind-energy reliability analysis

TL;DR: In this article, the authors focus on six important aspects according to available literature, including the role of health management systems, which are an integral component of wind energy systems, and which ensure high turbine availability and reliability.
Journal ArticleDOI

Simulation of Sensor Fault Diagnosis for Wind Turbine Generators DFIG and PMSM Using Kalman Filter

TL;DR: In this article, the authors proposed a systematic methodology for the design of sensor FDI systems with the following characteristics: i) capable of detecting and isolating incipient additive (bias) faults, ii) robust against changes in the references/disturbances affecting the controlled DFIG and PMSG as well as modeling/parametric uncertainties, iii) residual generation system based on a multi-observer strategy to enhance the isolation process.
Journal ArticleDOI

Robust model-based fault diagnosis of mechanical drive train in V47/660 kW wind turbine

TL;DR: In this paper, a robust fault diagnosis scheme for V47/660kW wind turbine is proposed based on model-based Fault Detection and Isolation (FDI) scheme, which detects critical and common sensor faults, actuator faults, and components faults.
Proceedings ArticleDOI

Implementation of reliable H infinity observer-controller for TRMS with sensor and actuator failure

TL;DR: In this paper reliable H infinity observer and H infinity controller which is designed for Twin Rotor MIMO System(TRMS) is implemented on real Twin Rotors using system identification technique.
Journal ArticleDOI

Diagnosis of Wind Energy System Faults Part I : Modeling of the Squirrel Cage Induction Generator

TL;DR: A dynamic model of the squirrel cage induction generator exists usually on wind energy systems, for the diagnosis of broken rotor bars defects from an approach of magnetically coupled multiple circuits is developed.
References
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An Introduction to the Kalman Filter

Greg Welch, +1 more
TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.
Journal ArticleDOI

Doubly Fed Induction Generator Model-Based Sensor Fault Detection and Control Loop Reconfiguration

TL;DR: A voltage-oriented doubly fed induction generator, which is often used in wind turbines, is examined and current, voltage, and position sensor fault detection, isolation, and reconfiguration are presented.
Journal ArticleDOI

Soft Computing Algorithm to Data Validation in Aerospace Systems Using Parity Space Approach

TL;DR: A procedure is proposed, which permits us to compute systematically all the redundancy equations for the residual generation phase and an additional concept, called residuals structuration, is necessary to isolate the detected faults.
Proceedings ArticleDOI

Current sensor FDI by Generalized Observer Scheme for a generator in wind turbine

TL;DR: This paper will tackle the problem of current sensor Fault Diagnosis and Isolation (FDI) of a doubly feed induction generator in wind turbine using a Kalman filter bank in a Generalized Observer Scheme.
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