SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

R Pandit, D Astolfi, J Hong, D Infield… - Wind …, 2023 - journals.sagepub.com
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 …

Failure prognosis and applications—A survey of recent literature

M Kordestani, M Saif, ME Orchard… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

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 …

A review of predictive techniques used to support decision making for maintenance operations of wind turbines

RK Pandit, D Astolfi, I Durazo Cardenas - Energies, 2023 - mdpi.com
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 …

A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF

M Rezamand, M Kordestani, R Carriveau… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
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 …

An integrated feature-based failure prognosis method for wind turbine bearings

M Rezamand, M Kordestani… - IEEE/ASME …, 2020 - ieeexplore.ieee.org
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 …

A new fusion estimation method for multi-rate multi-sensor systems with missing measurements

M Kordestani, M Dehghani, B Moshiri, M Saif - Ieee Access, 2020 - ieeexplore.ieee.org
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 …

Improved remaining useful life estimation of wind turbine drivetrain bearings under varying operating conditions

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing

WM Ashraf, Y Rafique, GM Uddin, F Riaz… - Alexandria Engineering …, 2022 - Elsevier
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 …

A new hybrid fault prognosis method for MFS systems based on distributed neural networks and recursive bayesian algorithm

M Kordestani, MF Samadi, M Saif - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
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 …