A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
[HTML][HTML] Wind turbine drivetrains: state-of-the-art technologies and future development trends
This paper presents the state-of-the-art technologies and development trends of wind
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …
Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks
L Xiang, X Yang, A Hu, H Su, P Wang - Applied Energy, 2022 - Elsevier
Renewable energy is widely applied in the world. The key problem of wind energy
application is to improve the reliability of wind turbine and reduce its downtime. Supervisory …
application is to improve the reliability of wind turbine and reduce its downtime. Supervisory …
Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network
H Chen, H Liu, X Chu, Q Liu, D Xue - Renewable Energy, 2021 - Elsevier
Continuous monitoring of wind turbine health conditions using anomaly detection methods
can improve the reliability and reduce maintenance costs during operation of wind turbine …
can improve the reliability and reduce maintenance costs during operation of wind turbine …
Using SCADA data for wind turbine condition monitoring–a review
J Tautz‐Weinert, SJ Watson - IET Renewable Power …, 2017 - Wiley Online Library
The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …
accelerated the need for optimised maintenance strategies in order to reduce operating …
[HTML][HTML] On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
PB Dao - Applied energy, 2022 - Elsevier
In this study, the Wilcoxon rank sum test, a nonparametric statistical test method in the field
of statistics, has been exploited for the operation state monitoring and automated fault …
of statistics, has been exploited for the operation state monitoring and automated fault …
A small-sample wind turbine fault detection method with synthetic fault data using generative adversarial nets
The limited fault information caused by small fault data samples is a major problem in wind
turbine (WT) fault detection. This paper proposes a small-sample WT fault detection method …
turbine (WT) fault detection. This paper proposes a small-sample WT fault detection method …
A field study of ice accretion and its effects on the power production of utility-scale wind turbines
A field study was conducted to examine ice accretion on 50-m-long turbine blades and icing-
induced power production losses to multi-megawatt wind turbines. An unmanned-aerial …
induced power production losses to multi-megawatt wind turbines. An unmanned-aerial …
Methods for advanced wind turbine condition monitoring and early diagnosis: A literature review
Condition monitoring and early fault diagnosis for wind turbines have become essential
industry practice as they help improve wind farm reliability, overall performance and …
industry practice as they help improve wind farm reliability, overall performance and …
A condition monitoring and fault isolation system for wind turbine based on SCADA data
Condition monitoring of the wind turbine based on supervisory control and data acquisition
(SCADA) data has attracted much attention in recent years. Nevertheless, there are some …
(SCADA) data has attracted much attention in recent years. Nevertheless, there are some …