Detection and classification of faults in pitch-regulated wind turbine ...

DOI: 10.1016/J.RENENE.2016.12.075 Corpus ID: 114798832 Detection and classification of faults in pitch-regulated wind turbine generators using normal behaviour models based on performance curves @article{Bi2017DetectionAC, title={Detection and ...

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Pitch fault diagnosis of wind turbines in multiple operational states ...

According to the performance of characteristic parameters in nine operational states of wind turbines, Gaussian mixture model clustering and the analysis of normal …

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Analysis of Wind Turbine Equipment Failure and Intelligent

If there is a failure of the pitch shaft cabinet battery, it is possible that one of the batteries in the fan blade battery cabinet has been damaged due to prolonged use or that the …

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Fault detection framework in wind turbine pitch systems using …

Fault detection in electrical equipment has been analyzed to improve operating time. Ahmadpour et al. (2022) used the finite element method and Hilbert-Huang transform to detect and diagnose faults in high-temperature superconducting synchronous linear induction motors (HTS-SLIM) with …

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Data annotation and feature extraction in fault detection in a wind ...

Data annotation and feature extraction in fault detection in a wind turbine hydraulic pitch system Panagiotis Korkos a, *, Matti Linjama b, Jaakko Kleemola c, Arto Lehtovaara a a Tribology and Machine Elements, Materials Science and Environmental Engineering, Faculty of Engineering and Natural Sciences, Tampere University, P.O. ...

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FAULT DETECTION OF WIND TURBINE PITCH CONNECTION …

For the problem of class-imbalance in the operation monitoring data of wind turbine (WT) pitch connecting bolts, an improved Borderline-SMOTE oversampling method based on "two-step decision" with adaptive selection of synthetic instances (TSDAS-SMOTE) is ...

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Fault Detection of Wind Turbine Electric Pitch System

to detect the electric pitch system fault model of the double-fed wind turbine generator set. Therefore, Extreme Random Forest which was optimized by improved grey wolf algorithm (IGWO-ERF) was

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Wind turbine generator failure analysis and fault diagnosis: A …

In this article, a comprehensive and up-to-date review of wind turbine generators failure analysis and fault diagnosis are presented. First, the electrical and mechanical failures …

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Classification and Detection of Wind Turbine Pitch

Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis Jamie L. Godwin1 and Peter Matthews2 1,2School of Engineering and Computing Sciences, Durham University ...

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Wind turbine pitch bearing fault detection with Bayesian …

A novel fault diagnosis method, Bayesian augmented temporal convolutional network (BATCN), to filter the raw signal in wind turbine pitch bearing defect detection, designed to capture the temporal dependencies of the signal with a focus on non-stationary relationships in the collected signals. There are few studies on the fault diagnosis of deep learning in real large …

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Enhanced Fault Detection of Wind Turbine Using eXtreme …

Wind turbines serve a vital role in renewable energy generation but operate in harsh environments and endure variable loading. Monitoring wind turbine blade conditions is therefore critical to prevent unscheduled downtime and revenue losses. This research investigates the application of machine learning techniques for detection, monitoring, and …

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Classification and Detection of Wind Turbine Pitch …

WIND TURBINE P ITCH FAULTS Wind turbine pitch faults are deviation of the blade pitch angle from a predefined optimum for a given wind speed and are the most common fault mode to occur. As can be seen in Table 1, pitch faults …

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Wind Turbine Fault Detection: A Semi-Supervised Learning …

Wind energy is promoting the disruption of the current energy model, as the world begins to reduce the use of nonrenewable energy sources. At the core of this energetic revolution, the wind turbines are designed to capture the wind''s kinetic energy to produce electricity. Wind turbines are complicated and expensive systems whose operating signals are converted into high …

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Wind Turbine Pitch System Condition Monitoring and Fault Detection ...

An essential aspect of digital twins is the coupling of the virtual replica with actual data. In [156], a condition monitoring and fault detection technique was presented for wind turbine pitch ...

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Fault Detection of the Wind Turbine Variable Pitch System Based …

The proposed fault detection of the wind turbine variable pitch system based on large margin distributionmachine (LDM) which is optimized by the state transition algorithm (STA) has lower false positive rate (FPR) and false negative rate (fNR) in the fault detection in a real wind farm. Aiming at solving the problem that the parameters of a fault detection model are difficult to be …

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Condition Monitoring Using Digital Fault-Detection Approach for …

In this context, the present paper develops a practical monitoring approach using a numerical fault-detection process for the pitch system based on a benchmark wind …

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Fault detection framework in wind turbine pitch systems using …

Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results Engineering Applications of Artificial Intelligence ( IF 7.5) Pub Date : 2024-09-12, DOI: 10.1016/j.engappai.2024.109307

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[PDF] Fault Detection Algorithm for Wind Turbines'' Pitch Actuator ...

A recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. A fault detection innovation to wind turbines'' pitch actuators is an important subject to guarantee the efficiency …

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Fault detection and isolation for wind turbine electric pitch system ...

Abstract: This paper presents a model-based fault detection and isolation scheme applied on electric pitch system of wind turbines. Pitch system is one of the most critical components due …

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Wind Turbine Failures Review and Trends | Journal of Control ...

This article presents a standardized analysis of failures in wind turbines concerning the main technologies classified in the literature, as well as identifies critical components and trends for the most modern wind farm facilities, which seek greater efficiency, robustness and reliability to mitigate failures and reduce wind turbine downtime. Through the …

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(PDF) Fault Detection of Wind Turbine Electric Pitch System Based …

A fault detection method of wind turbine pitch system using semi-supervised optimal margin distribution machine (ssODM) optimized by dynamic state transition algorithm (DSTA) [ssODM-DSTA] ...

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Wind Turbine Pitch System Condition Monitoring and Fault …

Condition monitoring and early fault detection of wind turbine faults can reduce maintenance costs and prevent cascaded failures. This article proposes a new Normal Behavior Modeling (NBM) …

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Fault diagnosis of wind turbine pitch system based on LSTM with …

Acho (Acho and Pujol-Vázquez, 2021) proposed an iterative learning algorithm for sensor signals fusion and detect pitch system actuator faults. Tang (Tang et al., 2021) …

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[PDF] Fault Detection of Wind Turbine Electric Pitch System …

Extreme Random Forest which was optimized by improved grey wolf algorithm (IGWO-ERF) was proposed to solve the problems mentioned above with lower FNR and FPR in the electric pitch system fault detection of the wind turbine generator set. It is difficult to optimize the fault model parameters when Extreme Random Forest is used to detect the electric pitch …

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Fault detection of wind turbine pitch connection bolts based on …

Aiming at the problem of class imbalance in the wind turbine blade bolts operation-monitoring dataset, a fault detection method for wind turbine blade bolts based on Gaussian Mixture Model ...

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Internal electrical fault detection techniques in DFIG-based wind ...

The keys factor in making wind power one of the main power sources to meet the world''s growing energy demands is the reliability improvement of wind turbines (WTs). However, the eventuality of fault occurrence on WT components cannot be avoided, especially for doubly-fed induction generator (DFIG) based WTs, which are operating in severe environments. The …

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Wind Turbine Pitch System Fault Detection Using …

Keywords: fault detection, wind turbine, pitch system, dynamic state transition algorithm, semi-supervised optimal margin distribution machine, random forest Citation: Tang M, Hu J, Wu H and Wang Z (2021) Wind Turbine Pitch System …

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Fault detection framework in wind turbine pitch systems using …

This article describes a methodology for detecting faults in the Pitch system in wind turbines using real data from the SCADA and Log Alarm system thorough machine learning techniques. Among the most relevant conclusions from the results of the models •

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Fault detection and isolation of floating wind turbine pitch system ...

the turbine speed, both torque control and pitch control of the turbine are considered in the numerical model of theproject. 1.3. Torquecontrolandpitchcontrol Torque and blade pitch controllers are the two primary components of the wind turbine baseline control

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Exploring Quantum Machine Learning and Feature Reduction

Driven by the development of machine learning (ML) and deep learning techniques, prognostics and health management (PHM) has become a key aspect of reliability engineering research. With the recent rise in popularity of quantum computing algorithms and public availability of first-generation quantum hardware, it is of interest to assess their potential …

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Fault Detection of Wind Turbine Pitch System Based on …

Experimental results show that the proposed method for fault detection of the pitch system of the wind turbine generator system based on the multiclass optimal margin distribution machine has higher fault detection accuracy and precision and lower false-negative rate and false-positive rate. In response to the unbalanced sample categories and complex …

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Artificial Intelligence Techniques and Cloud Computing for Wind Turbine ...

1 Artificial Intelligence Techniques and Cloud Computing for Wind Turbine Pitch Bearing Fault Detection Chao Zhang Fausto Pedro Garcia Marquez Long Zhang Abstract—Blade bearings are critical rotating units for max-imizing wind power yield. It is essential to

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Remote Monitoring and Diagnostics of Pitch-Bearing Defects in …

This hardware-free solution can be directly applied to the existing wind turbines and successfully give the wind farm operator an early warning before multiaxis pitch bearing fails. It has been …

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A Data-Driven Approach for Condition Monitoring of Wind Turbine …

With the rapid development of wind energy, it is important to reduce operation and maintenance (O&M) costs of wind turbines (WTs), especially for a pitch system, which …

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Fault Detection Algorithm for Wind Turbines'' Pitch …

A fault detection innovation to wind turbines'' pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective …

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Fault diagnosis of wind turbine pitch system based on LSTM with …

At present, wind turbines mainly use SCADA system to monitor the operating status of equipment, which contain many parameters of pitch system''s the running condition. Acho (Acho and Pujol-Vázquez, 2021) proposed an iterative learning algorithm for sensor signals fusion and detect pitch system actuator faults. ...

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Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

Wind Turbine Pitch System Fault Detection Using ssODM-DSTA Mingzhu Tang 1 †, Jiahao Hu, Huawei Wu2* and Zimin Wang3 1School of Energy and Power Engineering, Changsha University of Science and ...

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Automatic detection and correction of pitch misalignment in wind ...

DOI: 10.5194/WES-3-791-2018 Corpus ID: 59134359 Automatic detection and correction of pitch misalignment in wind turbine rotors @article{Bertel2018AutomaticDA, title={Automatic detection and correction of pitch misalignment in wind turbine rotors}, author={Marta Bertel{`e} and Carlo Luigi Bottasso and Stefano Cacciola}, journal={Wind Energy Science}, year={2018}, …

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