A brief status on condition monitoring and fault diagnosis in wind energy conversion systems

Amirat, Yassine; Benbouzid, Mohamed; Al-Ahmar, Elie; Bensaker, Bachir; Turri, Sylvie

doi:10.1016/j.rser.2009.06.031

Cited by 360 publications

(205 citation statements)

References 25 publications

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“…Besides power production, monitoring the voltage and current in each phase can give useful indications of the operational status, such as mechanical stability in the generator [12][13][14]. The translator position measurement was included for position and speed reference.…”

Section: Measurement Objectivementioning

confidence: 99%

Offshore Measurement System for Wave Power—Using Current Loop Feedback

Ulvgård¹,

Kamf²,

Leijon³

2016

Electronics

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This paper presents the design and testing of a measurement system for wave power generators. The work is part of a project to build a robust and cheap measurement system for offshore monitoring of wave power farms. Due to the harsh offshore environment, low accessibility and high cost for installation and maintenance, it is of key importance to minimize power consumption, complexity and cost of each measurement unit. For the first prototype, the objective was to measure voltage, current and translator position inside the linear wave power generator. For this, two printed circuit boards (PCBs) were developed, using a two wire current loop transmitter setup. They were tested separately and in a three phase setup inside a wave power generator during onshore tests. To ensure stability, speed and accuracy in the signal transfer, the PCBs were tested for linearity, frequency response and step response. In addition, power consumption was measured, for operational time evaluation. Results show good agreement between expected and measured performance, with an input range of ±1560 V and ±420 A for alternating current measurements and a bandwidth of 10 kHz and 7 kHz, for voltage and current measurements, respectively. The power consumption was measured to 0.5 W for each measurement unit, at 24 V feed.

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Section: Measurement Objectivementioning

confidence: 99%

Offshore Measurement System for Wave Power—Using Current Loop Feedback

Ulvgård¹,

Kamf²,

Leijon³

2016

Electronics

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“…Faults can almost occur anywhere in this system and they can be classified into electrical faults such as transformer overheating, converter failure, stator winding short circuit, and generator faults, electronic faults in sensors and in electronic cards and mechanical faults mainly associated to the gearbox and the blades. Some of these faults occurs more frequently than others and yield more serious shortcomings [4]. Most of the tools developed to detect faults in WT depend on the data collected from the installed sensors.…”

Section: Fault Detection and Diagnosis Of Wind Turbine Power Generatorsmentioning

confidence: 99%

Research on Hybrid Renewable Energy Systems with Fault Detection Technology

Al-Sheikh¹,

Moubayed²

2013

JEPE

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Early and accurate fault detection and diagnosis for renewable energy systems can increase their safety and ensure the continuity of their service. This paper presents a comprehensive review of different fault detection and diagnosis methods for hybrid renewable energy systems consisting of a wind turbine power generator, a PV (photovoltaic) array, a PEM (polymer electrolyte membrane) fuel cell and a battery storage system. The need of batteries to store the generated power from the solar panel, wind turbine or PEM fuel cell is also emphasized. Finally, an overview of the current methods used in the diagnosing of the lead-acid battery degradation is given.

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“…The fault rate of gearbox and generator is relatively high [5]. There are many reasons for the faults of gearbox and generator, and the misalignment between them is one of the most important [6].…”

Section: Introductionmentioning

confidence: 99%

Research on Misalignment Fault Isolation of Wind Turbines Based on the Mixed-Domain Features

et al. 2017

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Abstract:The misalignment of the drive system of the DFIG (Doubly Fed Induction Generator) wind turbine is one of the important factors that cause damage to the gears, bearings of the high-speed gearbox and the generator bearings. How to use the limited information to accurately determine the type of failure has become a difficult study for the scholars. In this paper, the time-domain indexes and frequency-domain indexes are extracted by using the vibration signals of various misaligned simulation conditions of the wind turbine drive system, and the time-frequency domain features-energy entropy are also extracted by the IEMD (Improved Empirical Mode Decomposition). A mixed-domain feature set is constructed by them. Then, SVM (Support Vector Machine) is used as the classifier, the mixed-domain features are used as the inputs of SVM, and PSO (Particle Swarm Optimization) is used to optimize the parameters of SVM. The fault types of misalignment are classified successfully. Compared with other methods, the accuracy of the given fault isolation model is improved.

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A brief status on condition monitoring and fault diagnosis in wind energy conversion systems

Cited by 360 publications

References 25 publications

Offshore Measurement System for Wave Power—Using Current Loop Feedback

Offshore Measurement System for Wave Power—Using Current Loop Feedback

Research on Hybrid Renewable Energy Systems with Fault Detection Technology

Research on Misalignment Fault Isolation of Wind Turbines Based on the Mixed-Domain Features

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