An overview on fault diagnosis, prognosis and resilient control for wind turbine systems

Z Gao, X Liu - Processes, 2021 - mdpi.com
Wind energy is contributing to more and more portions in the world energy market. However,
one deterrent to even greater investment in wind energy is the considerable failure rate of …

A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

A data-driven design for fault detection of wind turbines using random forests and XGboost

D Zhang, L Qian, B Mao, C Huang, B Huang… - Ieee Access, 2018 - ieeexplore.ieee.org
Wind energy has seen great development during the past decade. However, wind turbine
availability and reliability, especially for offshore sites, still need to be improved, which …

Anomaly detection and fault analysis of wind turbine components based on deep learning network

H Zhao, H Liu, W Hu, X Yan - Renewable energy, 2018 - Elsevier
Continuous monitoring of wind turbine health using early fault detection methods can
improve turbine reliability and reduce maintenance costs before they reach a catastrophic …

Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review

H Habibi, I Howard, S Simani - Renewable energy, 2019 - Elsevier
Reliability improvement of wind turbine power generation is the key issue that can turn the
wind power into one of the main power sources to respond to the world power demands …

A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification

A Wang, Y Pei, Z Qian, H Zareipour, B Jing, J An - Applied Energy, 2022 - Elsevier
Effective condition monitoring is critical to improve the reliability and reduce unplanned
downtime of wind turbines (WTs). Supervisory control and data acquisition (SCADA) data …

Model-based fault diagnosis methods for systems with stochastic process–a survey

Z Zhao, PX Liu, J Gao - Neurocomputing, 2022 - Elsevier
Abstract Model-based methods are widely used for the fault diagnosis of stochastic dynamic
systems by simply using the input–output relationship of the system. Despite encouraging …

Wind turbine anomaly detection based on SCADA: A deep autoencoder enhanced by fault instances

J Liu, G Yang, X Li, Q Wang, Y He, X Yang - ISA transactions, 2023 - Elsevier
An increasing number of deep autoencoder-based algorithms for intelligent condition
monitoring and anomaly detection have been reported in recent years to improve wind …

A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks

A Wang, Z Qian, Y Pei, B Jing - Renewable Energy, 2022 - Elsevier
Wind turbine condition monitoring (WTCM) plays an important role in reducing operation &
maintenance (O&M) cost and improving the reliability of wind farms. Supervisory control and …

Hybrid method for remaining useful life prediction in wind turbine systems

MA Djeziri, S Benmoussa, R Sanchez - Renewable Energy, 2018 - Elsevier
This paper deals with fault prognosis of wind turbine in presence of multiple faults. First, a
physical model is presented and used for structural analysis, sensor placement, and clusters …