A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

Wang, Qiao; Lu, Dingguo

doi:10.1109/tie.2015.2422112

Cited by 451 publications

(212 citation statements)

References 64 publications

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“…A clear contrast was made with regard to the performance characteristics under high and low Reynolds number flow parameters. Optimal induction factors of a particular horizontal axis wind turbine depend largely on the operating conditions such as the prevalent wind flow direction as well as the presence of other buildings and non-aerodynamic objects within fifty to a hundred meters of the installation side [8,9]. The design optimization in the study took into account tip hub losses as well as variability in pitch and consequent locations of boundary layer trips.…”

Section: Resultsmentioning

confidence: 99%

Design and Optimisation of a Low Reynolds Number Airfoil for Small Horizontal Axis Wind Turbines

Radhakrishnan

Suri

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Section: Resultsmentioning

confidence: 99%

Design and Optimisation of a Low Reynolds Number Airfoil for Small Horizontal Axis Wind Turbines

Radhakrishnan

Suri

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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“…From surveys concerning the reliability of the wind turbines, faults caused by the drivetrain system account for over 20% of total faults and contribute to approximately 30% of the downtime of doubly-fed induction generator (DFIG)-based wind turbines [5,6]. Thus, studies about fault diagnosis of the drivetrain system are necessary.…”

Section: Introductionmentioning

confidence: 99%

Estimating Health Condition of the Wind Turbine Drivetrain System

Qian

Zhang

2017

Energies

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Condition Monitoring (CM) has been considered as an effective method to enhance the reliability of wind turbines and implement cost-effective maintenance. Thus, adopting an efficient approach for condition monitoring of wind turbines is desirable. This paper presents a data-driven model-based CM approach for wind turbines based on the online sequential extreme learning machine (OS-ELM) algorithm. A physical kinetic energy correction model is employed to normalize the temperature change to the value at the rated power output to eliminate the effect of variable speed operation of the turbines. The residual signal, obtained by comparing the predicted values and practical measurements, is processed by the physical correction model and then assessed with a Bonferroni interval method for fault diagnosis. Models have been validated using supervisory control and data acquisition (SCADA) data acquired from an operational wind farm, which contains various types of temperature data of the gearbox. The results show that the proposed method can detect more efficiently both the long-term aging characteristics and the short-term faults of the gearbox.

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“…Wind energy has become one of the most promising types of renewable energy that can be implemented on a large scale because of its relatively low cost and abundant global supply [1]. Furthermore, wind energy has been one of the fastest-growing renewable energy resources in the world in the last three decades according to statistical data.…”

Section: Introductionmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

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A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems

Cited by 451 publications

References 64 publications

Design and Optimisation of a Low Reynolds Number Airfoil for Small Horizontal Axis Wind Turbines

Design and Optimisation of a Low Reynolds Number Airfoil for Small Horizontal Axis Wind Turbines

Estimating Health Condition of the Wind Turbine Drivetrain System

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

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