scholarly journals A Quick Fault Detection System Applied to Pitch Actuators of Wind Turbines

2020 ◽  
Vol 18 ◽  
pp. 13-17
Author(s):  
Leonardo Acho ◽  
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System

Data-driven design of robust fault detection system for wind turbines

Mechatronics ◽  
2014 ◽  
Vol 24 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Shen Yin ◽  
Guang Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System ◽  
Data Driven ◽  
Robust Fault Detection

scholarly journals Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2861
Author(s):  
Gisela Pujol-Vazquez ◽  
Leonardo Acho ◽  
José Gibergans-Báguena
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System ◽  
Detection Algorithm ◽  
Time Behavior ◽  
Historical Time ◽  
Efficient Tool ◽  
Wind Energy Conversion ◽  
Long Lifetime ◽  
Interval Observer

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 fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in any actuator may affect its historical-time behavior. Hence, and properly conceptualized, a fault detection system can be successfully designed based on interval observer dynamics. This is precisely our main contribution. Additionally, we realize a numerical analysis to evaluate the performance of our approach by using a dynamic model of a pitch actuator device with faults. The numerical experiments support our main contribution.

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

2018 ◽  
Vol 116 ◽  
pp. 107-122 ◽  
Author(s):  
Phong B. Dao ◽  
Wieslaw J. Staszewski ◽  
Tomasz Barszcz ◽  
Tadeusz Uhl
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Cointegration Analysis

scholarly journals The Design and Implementation of Photoelectric Sensor for Yarn Color Fault Detection

2016 ◽  
Vol 12 (02) ◽  
pp. 5
Author(s):  
Fenhua Sheng ◽  
Zujue Chen
Keyword(s):  
Fault Detection ◽  
Virtual Instrument ◽  
Detection System ◽  
Measurement Technology ◽  
Textile Production ◽  
Amplifier Circuit ◽  
Photoelectric Sensor ◽  
Driver Circuit ◽  
Yarn Production ◽  
Different Color

The paper mainly aimed at solving the problem of yarn color fault detection. Yarn with different color is hard to detect in yarn production, a special photoelectric sensor is designed in this paper. First, this paper analyzed the requirement of light source and photoelectric receiver in the photoelectric sensor, and designs the light path and driver circuit. Then this paper analyzed the amplifier circuit and noise in the photoelectric sensor, with an amplifier circuit of minimal noise proposed at last. Finally, this paper tested the yarn color fault detection system with virtual instrument, and the test results showed a great application prospect of the photoelectric sensor. Photoelectric yarn clearer was the first type of electronic yarn clearer, but due to the under development of the optical technology and measurement technology, the photoelectric yarn cleaner can't meet the requirements of textile production, gradually replaced by capacitive yarn cleaner. Though photoelectric yarn cleaner had a good visual conformity degree, it’s still a unreplaceable method in colored yarn faults

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