The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review

Liu, W.Y.; Tang, Baoping; Han, Junyu; Lu, Xiangning; Hu, Ningning; He, Z. Z.

doi:10.1016/j.rser.2014.12.005

Cited by 246 publications

(104 citation statements)

References 51 publications

Supporting

Mentioning

104

Contrasting

Order By: Relevance

“…These indicators are based on patterns that were previously obtained observing the typical normal behavior of the components monitored [12][13][14].…”

Section: Process Of Creation and Use Of The Behavior Anomaly Indicatomentioning

confidence: 99%

Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine

2018

View full text Add to dashboard Cite

This paper presents indicators of non-expected behavior in components of a wind turbine. These indicators are used to alert about the working conditions of these components that are not usual, according to the normal behavior observed for similar conditions of wind speed and power generated. In order to obtain these indicators, reference patterns of behavior for the components studied were defined. The patterns were obtained from real data of the wind turbine covering all of the possible working conditions. The technique of self-organized maps was used for discovering such reference patterns. Once they were obtained, new data, not included in the training set, was passed through the patterns in order to verify if the behavior observed corresponds or not to that expected. If they do not coincide, an anomaly of behavior is detected than can be useful for soon alert of possible failure mode or at least to know that the component was under working conditions that could cause risk of fault. The periods of unexpected behavior are the base for the indicators proposed in this paper. Real cases to show the elaboration of the indicators, and their corresponding results are provided.

show abstract

“…These indicators are based on patterns that were previously obtained observing the typical normal behavior of the components monitored [12][13][14].…”

Section: Process Of Creation and Use Of The Behavior Anomaly Indicatomentioning

confidence: 99%

Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine

2018

View full text Add to dashboard Cite

show abstract

“…Optimistic estimations point out that by 2020 wind energy will be responsible for up to 12% of the global energy matrix, rising to 22% by 2030 [3]. In order to allow for this substantial growth, a reduction in operation and maintenance costs of wind turbines is needed to increase the reliability of turbines during their designed lifetime.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Fatigue Crack Propagation of Gears Considering Uncertainties in Loading and Material Properties

et al. 2017

View full text Add to dashboard Cite

Failure prediction of wind turbine gearboxes (WTGs) is especially important since the maintenance of these components is not only costly but also causes the longest downtime. One of the most common causes of the premature fault of WTGs is attributed to the fatigue fracture of gear teeth due to fluctuating and cyclic torque, resulting from stochastic wind loading, transmitted to the gearbox. Moreover, the fluctuation of the torque, as well as the inherent uncertainties of the material properties, results in uncertain life prediction for WTGs. It is therefore essential to quantify these uncertainties in the life estimation of gears. In this paper, a framework, constituted by a dynamic model of a one-stage gearbox, a finite element method, and a degradation model for the estimation of fatigue crack propagation in gear, is presented. Torque time history data of a wind turbine rotor was scaled and used to simulate the stochastic characteristic of the loading and uncertainties in the material constants of the degradation model were also quantified. It was demonstrated that uncertainty quantification of load and material constants provides a reasonable estimation of the distribution of the crack length in the gear tooth at any time step.

show abstract

“…The attractiveness of DD-PMSGs is further enhanced with the improvements in the characteristics of permanent magnets and the reduction in the cost of materials. In addition, water cooling systems are generally unnecessary for PMSGs [3]. Therefore, DD-WTs are expected to may be the future trend in the utilization of wind energy, particularly for offshore applications.…”

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.

View full text Add to dashboard Cite

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.

show abstract

The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review

Cited by 246 publications

References 51 publications

Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine

Behavior Anomaly Indicators Based on Reference Patterns—Application to the Gearbox and Electrical Generator of a Wind Turbine

Evaluation of Fatigue Crack Propagation of Gears Considering Uncertainties in Loading and Material Properties

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

Contact Info

Product

Resources

About