scholarly journals Neural Network Controlled Primitive Fault Analysis and Monitoring of Wind Turbine Gear Box

2019 ◽  
Vol 8 (2) ◽  
pp. 764-768
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Fault Analysis ◽  
Wind Generators ◽  
Wind Energy Conversion Systems ◽  
Preliminary Identification ◽  
Drive Trains ◽  
Energy Conversion Systems ◽  
Condition Monitoring System

The problem considered in this paper is minimization of operational and maintenance costs of Wind Energy Conversion Systems (WECS). A continuous condition monitoring system is to be designed for reducing these costs. Hence preliminary identification of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity is made possible. The inaccessibility of Wind generators situated at heights of 30m or more height also creates problem in condition monitoring and fault diagnosis. This opens up the research on condition monitoring and fault diagnosis in WECS (blades, drive trains, and generators). Therefore different type of faults, their generated signatures, and their diagnostic schemes are discussed in this paper. The paper aims in validating the application of neural networks for the analysis of wind turbine data, so that possible future failures may be predicted and rectified earlier.

Study on Fault Diagnosis Platform in Wind Energy Conversion Systems Based on JESS

2011 ◽  
Vol 230-232 ◽  
pp. 925-929
Author(s):  
Wang Shen Hao ◽  
Feng Qin Li ◽  
Jie Han ◽  
Xin Min Dong ◽  
Hong Chen
Keyword(s):  
Fault Diagnosis ◽  
Wind Energy ◽  
Energy Conversion ◽  
Condition Monitoring ◽  
Wind Energy Conversion ◽  
Wind Generators ◽  
Wind Energy Conversion Systems ◽  
Energy Conversion Systems ◽  
Energy Conversion System ◽  
Monitoring Platform

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System(WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers.There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. The monitoring schemes of transfer its monitor status with JESS technology was put forward in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

Study on Remote Condition Monitoring Platform in Wind Energy Conversion Systems Based on AJAX Technology

2011 ◽  
Vol 66-68 ◽  
pp. 1362-1367
Author(s):  
Wang Shen Hao ◽  
Xin Min Dong ◽  
Jie Han ◽  
Ling Jun Li
Keyword(s):  
Wind Energy ◽  
Energy Conversion ◽  
Condition Monitoring ◽  
Wind Energy Conversion ◽  
Wind Generators ◽  
Wind Energy Conversion Systems ◽  
Ajax Technology ◽  
Energy Conversion Systems ◽  
Energy Conversion System ◽  
Monitoring Platform

There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion System (WECS). The most efficient way of reducing these costs would be to continuously monitor the condition of these systems, which allows for early detection of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity. Wind generators are also inaccessible since they are situated on extremely high towers, which are usually 70m more in height. There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems. Therefore it is important of condition monitoring and fault diagnosis in WECS. A monitoring scheme of transfer its monitor status with AJAX technology was put forwords in this paper. A remote condition monitoring platform (RCMP) was designed and constructed in this project. And its result brings us an effective solution to deal with the WECS condition monitoring.

An internal parallel capacitor control strategy for DC-link voltage stabilization of PMSG-based wind turbine under various fault conditions

2021 ◽  
pp. 0309524X2110606
Author(s):  
Mohamed Metwally Mahmoud ◽  
Mohamed M Aly ◽  
Hossam S Salama ◽  
Abdel-Moamen M Abdel-Rahim
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Control Strategy ◽  
Low Voltage ◽  
Harmonic Distortion ◽  
Synchronous Generator ◽  
Parallel Capacitor ◽  
Wind Generators ◽  
Fast Fourier Transform Analysis ◽  
Energy Conversion Systems

In recent years, wind energy conversion systems (WECSs) have been growing rapidly. Due to various advantages, a permanent magnet synchronous generator (PMSG) is an appealing solution among different types of wind generators. As wind power penetration level in the grid increases, wind power impacts the grid and vice versa. The most essential concerns in the system are voltage sag and swell, and grid code compliance, particularly for low voltage ride-through (LVRT) and high voltage ride-through (HVRT) capability, is a pressing necessity. This paper presents a parallel capacitor (PC) control strategy to enhance the LVRT and HVRT capability of PMSG. Furthermore, this study presents a method for the sizing of a PC system for the reduction of the overvoltage of the DC-link during voltage sags and swell. Fast Fourier transform analysis is used to determine the total harmonic distortion (THD) for the injected current into the grid. The obtained results illustrate the effectiveness of the proposed system in keeping the DC-link voltage below the limit, power quality improvement, and increasing the LVRT and HVRT capability. Models of wind turbine, PMSG, and PC control system are built using MATLAB/SIMULINK software.

Wind Turbine Failure Prediction Model using SCADA-based Condition Monitoring System

2021 ◽  
Author(s):  
Bara Alzawaideh ◽  
Payam Teimourzadeh Baboli ◽  
Davood Babazadeh ◽  
Susanne Horodyvskyy ◽  
Isabel Koprek ◽  
...  
Keyword(s):  
Prediction Model ◽  
Wind Turbine ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Failure Prediction ◽  
Condition Monitoring System

scholarly journals Vestas V90-3MW Wind Turbine Gearbox Health Assessment Using a Vibration-Based Condition Monitoring System

2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
A. Romero ◽  
Y. Lage ◽  
S. Soua ◽  
B. Wang ◽  
T.-H. Gan
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Learning Algorithm ◽  
Health Assessment ◽  
Field Trials ◽  
Health Condition ◽  
Normal Operation ◽  
Wind Turbine Gearbox ◽  
Operation Conditions

Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry. This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration analysis. This methodology is based on a machine learning algorithm that generates a baseline for the identification of deviations from the normal operation conditions of the turbine and the intrinsic characteristic-scale decomposition (ICD) method for fault type recognition. Outliers picked up during the baseline stage are decomposed by the ICD method to obtain the product components which reveal the fault information. The new methodology proposed for gear and bearing defect identification was validated by laboratory and field trials, comparing well with the methods reviewed in the literature.

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