scholarly journals Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines

Energies ◽  
2016 ◽  
Vol 9 (4) ◽  
pp. 280 ◽  
Author(s):  
Wenna Zhang ◽  
Xiandong Ma
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Sensor Selection ◽  
Selection For

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

Condition monitoring and fault detection of wind turbines and related algorithms: A review

2009 ◽  
Vol 13 (1) ◽  
pp. 1-39 ◽  
Author(s):  
Z. Hameed ◽  
Y.S. Hong ◽  
Y.M. Cho ◽  
S.H. Ahn ◽  
C.K. Song
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Wind Turbines

scholarly journals Fault Detection and Diagnosis Methods for Fluid Power Pitch System Components—A Review

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1305
Author(s):  
Magnus F. Asmussen ◽  
Jesper Liniger ◽  
Henrik C. Pedersen
Keyword(s):  
Fault Detection ◽  
Power Systems ◽  
Wind Energy ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Fault Detection And Diagnosis ◽  
Fluid Power ◽  
Pitch System ◽  
Fluid Power Systems

Wind turbines have become a significant part of the global power production and are still increasing in capacity. Pitch systems are an important part of modern wind turbines where they are used to apply aerodynamic braking for power regulation and emergency shutdowns. Studies have shown that the pitch system is responsible for up to 20% of the total down time of a wind turbine. Reducing the down time is an important factor for decreasing the total cost of energy of wind energy in order to make wind energy more competitive. Due to this, attention has come to condition monitoring and fault detection of such systems as an attempt to increase the reliability and availability, hereby the reducing the turbine downtime. Some methods for fault detection and condition monitoring of fluid power systems do exists, though not many are used in today’s pitch systems. This paper gives an overview of fault detection and condition monitoring methods of fluid power systems similar to fluid power pitch systems in wind turbines and discuss their applicability in relation to pitch systems. The purpose is to give an overview of which methods that exist and to find areas where new methods need to be developed or existing need to be modified. The paper goes through the most important components of a pitch system and discuss the existing methods related to each type of component. Furthermore, it is considered if existing methods can be used for fluid power pitch systems for wind turbine.

scholarly journals Alternative fault detection and diagnostic using information theory quantifiers based on vibration time-waveforms from condition monitoring systems: Application to operational wind turbines

2021 ◽  
Vol 164 ◽  
pp. 1183-1194
Author(s):  
Gustavo de Novaes Pires Leite ◽  
Guilherme Tenório Maciel da Cunha ◽  
José Guilhermino dos Santos Junior ◽  
Alex Maurício Araújo ◽  
Pedro André Carvalho Rosas ◽  
...  
Keyword(s):  
Information Theory ◽  
Fault Detection ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Monitoring Systems ◽  
Condition Monitoring Systems ◽  
Vibration Time

Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine

2015 ◽  
Vol 55 (9-10) ◽  
pp. 2092-2096 ◽  
Author(s):  
Liansheng Liu ◽  
Shaojun Wang ◽  
Datong Liu ◽  
Yujie Zhang ◽  
Yu Peng
Keyword(s):  
Condition Monitoring ◽  
Aircraft Engine ◽  
Sensor Selection ◽  
Selection For

Cointegration Modelling for Health and Condition Monitoring of Wind Turbines - An Overview

2022 ◽  
Author(s):  
P.B. Dao
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Wind Turbines ◽  
Control Charts ◽  
Failure Detection ◽  
Short Review ◽  
Early Failure ◽  
Promising Tool ◽  
Condition Monitoring Systems ◽  
Scientists And Engineers

Abstract. The cointegration method has recently attracted a growing interest from scientists and engineers as a promising tool for the development of wind turbine condition monitoring systems. This paper presents a short review of cointegration-based techniques developed for condition monitoring and fault detection of wind turbines. In all reported applications, cointegration residuals are used in control charts for condition monitoring and early failure detection. This is known as the residual-based control chart approach. Vibration signals and SCADA data are typically used with cointegration in these applications. This is due to the fact that vibration-based condition monitoring is one of the most common and effective techniques (used for wind turbines); and the use of SCADA data for condition monitoring and fault detection of wind turbines has become more and more popular in recent years.

Sign in / Sign up

Export Citation Format

Share Document