[HTML][HTML] Opportunistic maintenance for offshore wind farms with multiple-component age-based preventive dispatch

M Li, X Jiang, RR Negenborn - Ocean Engineering, 2021 - Elsevier
Abstract Operation & maintenance (O&M) costs account for a large portion of total life cycle
cost for onshore wind energy, and the amount is estimated to be more for offshore wind …

[HTML][HTML] Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review

I Bagri, K Tahiry, A Hraiba, A Touil, A Mousrij - Vibration, 2024 - mdpi.com
Many industrial processes, from manufacturing to food processing, incorporate rotating
elements as principal components in their production chain. Failure of these components …

Convolutional neural networks for automated rolling bearing diagnostics in induction motors based on electromagnetic signals

M Minervini, ME Mognaschi, P Di Barba, L Frosini - Applied Sciences, 2021 - mdpi.com
Bearing faults account for over 40% of induction motor faults, and for this reason, for several
decades, much attention has been paid to their condition monitoring, through vibration …

Centrifugal Pump Fault Detection with Convolutional Neural Network Transfer Learning

CE Sunal, V Velisavljevic, V Dyo, B Newton, J Newton - Sensors, 2024 - mdpi.com
The centrifugal pump is the workhorse of many industrial and domestic applications, such as
water supply, wastewater treatment and heating. While modern pumps are reliable, their …

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes

DA Elvira-Ortiz, JJ Saucedo-Dorantes… - Entropy, 2023 - mdpi.com
Gears are reliable and robust elements that are found in any power transmission system.
However, gears are prone to present incipient faults, such as wear, since they are constantly …

Revolutionizing Wind Energy: A Enhanced Machine Learning Perspective on Wind Turbines Fault Prediction

C Choudhary, J Thakur, H Bhardwaj… - 2023 2nd …, 2023 - ieeexplore.ieee.org
The creation of renewable energy relies heavily on wind turbines, yet undiscovered defects
can reduce its performance. This study uses an ensemble methodology to propose a …

Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

D Domingo, AB Kareem, CN Okwuosa, PM Custodio… - Electronics, 2024 - mdpi.com
The role of transformers in power distribution is crucial, as their reliable operation is
essential for maintaining the electrical grid's stability. Single-phase transformers are highly …

Diagnosis of broken bars in wind turbine squirrel cage induction generator: approach based on current signal and generative adversarial networks

YM Zamora, L Hernández-Callejo, O Duque-Pérez… - Applied Sciences, 2021 - mdpi.com
To ensure the profitability of the wind industry, one of the most important objectives is to
minimize maintenance costs. For this reason, the components of wind turbines are …

A new health condition detection method for planetary gears based on modified distributed compressed sensing and multiscale symbol dynamic entropy

Z Wu, Q Zhang, Z Ma, J Lu, Z Qin - Shock and Vibration, 2021 - Wiley Online Library
Planetary gear transmission system is an important transmission part of large machinery and
is prone to failure. Aiming at the problem of how to extract fault information from vibration …

Use of advanced analytics for health estimation and failure prediction in wind turbines

M Beretta - 2022 - upcommons.upc.edu
The energy sector has undergone drastic changes and critical revolutions in the last few
decades. Renewable energy sources have grown significantly, now representing a sizeable …