SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends
This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …
Failure prognosis and applications—A survey of recent literature
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …
Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine
R Rahimilarki, Z Gao, N **, A Zhang - Renewable Energy, 2022 - Elsevier
Fault detection and classification are considered as one of the most mandatory techniques
in nowadays industrial monitoring. The necessity of fault monitoring is due to the fact that …
in nowadays industrial monitoring. The necessity of fault monitoring is due to the fact that …
A review of predictive techniques used to support decision making for maintenance operations of wind turbines
The analysis of reliable studies helps to identify the credibility, scope, and limitations of
various techniques for condition monitoring of a wind turbine (WT) system's design and …
various techniques for condition monitoring of a wind turbine (WT) system's design and …
A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF
This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …
An integrated feature-based failure prognosis method for wind turbine bearings
In North America, many utility-scale turbines are approaching the half-way point of their
anticipated initial lifespan. Accurate remaining useful life (RUL) estimation can provide wind …
anticipated initial lifespan. Accurate remaining useful life (RUL) estimation can provide wind …
A new fusion estimation method for multi-rate multi-sensor systems with missing measurements
A new fusion strategy is introduced in this article to estimate state for multi-rate multi-sensor
systems with missing measurements. N sensors, which possess various sampling rates …
systems with missing measurements. N sensors, which possess various sampling rates …
Improved remaining useful life estimation of wind turbine drivetrain bearings under varying operating conditions
The failure progression of wind turbine bearings comprises of multiple degraded health
states due to applied load by varying operating conditions (VOC). Therefore, determining the …
states due to applied load by varying operating conditions (VOC). Therefore, determining the …
[HTML][HTML] Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing
The vibrations of bearings holding the high-speed shaft of a steam turbine are critically
controlled for the safe and reliable power generation at the power plants. In this paper, two …
controlled for the safe and reliable power generation at the power plants. In this paper, two …
A new hybrid fault prognosis method for MFS systems based on distributed neural networks and recursive bayesian algorithm
This article introduces a new hybrid prognosis method to predict a remaining useful lifetime
(RUL) of multi-functional spoiler (MFS) systems. The MFS is vital to the healthy operation of …
(RUL) of multi-functional spoiler (MFS) systems. The MFS is vital to the healthy operation of …