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Related papers: Wind Turbine Gearbox Condition Based Monitoring

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Wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine is of critical importance. Unexpected failure of wind turbine…

Signal Processing · Electrical Eng. & Systems 2022-05-10 Mili Wadhwani , Sakshi Deshmukh , Harsh S. Dhiman

This paper addresses the topic of condition monitoring of wind turbine blades and presents a learning-based approach to fault detection. The proposed scheme utilises Principal Components Analysis and Autoencoders to derive data-driven…

Systems and Control · Electrical Eng. & Systems 2024-11-01 Giovanni Zaniboni , Alessio Dallabona , Johnny Nielsen , Dimitrios Papageorgiou

Condition based maintenance is a modern approach to maintenance which has been successfully used in several industrial sectors. In this paper we present a concrete statistical approach to condition based maintenance for wind turbine by…

Applications · Statistics 2017-02-17 Thomas Kenbeek , Stella Kapodistria , Alessandro Di Bucchianico

Wind energy significantly contributes to the global shift towards renewable energy, yet operational challenges, such as Leading-Edge Erosion on wind turbine blades, notably reduce energy output. This study introduces an advanced, scalable…

Systems and Control · Electrical Eng. & Systems 2025-06-17 Emil Marcus Buchberg , Kent Vugs Nielsen

Condition monitoring is central to the efficient operation of wind farms due to the challenging operating conditions, rapid technology development and large number of aging wind turbines. In particular, predictive maintenance planning…

Signal Processing · Electrical Eng. & Systems 2019-08-21 Sergio Martin-del-Campo , Fredrik Sandin , Daniel Strömbergsson

We present an investigation of how topological data analysis (TDA) can be applied to condition-based monitoring (CBM) of wind turbines for energy generation. TDA is a branch of data analysis focusing on extracting meaningful information…

Systems and Control · Electrical Eng. & Systems 2024-06-25 Simone Casolo , Alexander Stasik , Zhenyou Zhang , Signe Riemer-Sorensen

A growing number of wind turbines are equipped with vibration measurement systems to enable a close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component…

Machine Learning · Computer Science 2022-02-17 Angela Meyer

Data-driven methods based on Supervisory Control and Data Acquisition (SCADA) become a recent trend for wind turbine condition monitoring. However, SCADA data are known to be of low quality due to low sampling frequency and complex turbine…

Applications · Statistics 2020-07-09 Yuchen Shi , Nan Chen

Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality. In this paper, we propose two new approaches for the…

In this work, a novel predictive maintenance system is presented and applied to the main components of wind turbines. The proposed model is based on machine learning and statistical process control tools applied to SCADA (Supervisory…

Machine Learning · Computer Science 2019-10-23 Lorenzo Gigoni , Alessandro Betti , Mauro Tucci , Emanuele Crisostomi

We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus is the condition monitoring of wind turbine gearboxes under…

Signal Processing · Electrical Eng. & Systems 2022-03-23 Paolo Climaco , Jochen Garcke , Rodrigo Iza-Teran

Modern wind turbines gather a wealth of data with Supervisory Control And Data Acquisition (SCADA) systems. We study the short-term mutual dependencies of a variety of observables by evaluating Pearson correlation matrices on a moving time…

The wind energy industry has been experiencing tremendous growth and confronting the failures of wind turbine components. Wind turbine gearbox malfunctions are particularly prevalent and lead to the most prolonged downtime and highest cost.…

Machine Learning · Computer Science 2023-03-08 Jinsong Wang , Kenneth A. Loparo

Modern utility-scale wind turbines are equipped with a Supervisory Control And Data Acquisition (SCADA) system gathering vast amounts of operational data that can be used for analysis to improve operation and maintenance of turbines. We…

Applications · Statistics 2023-08-21 Henrik M. Bette , Edgar Jungblut , Thomas Guhr

Most wind turbines are remotely monitored 24/7 to allow for an early detection of operation problems and developing damage. We present a new fault detection method for vibration-monitored drivetrains that does not require any feature…

Machine Learning · Computer Science 2022-06-28 Stefan Jonas , Dimitrios Anagnostos , Bernhard Brodbeck , Angela Meyer

Vibration measurements have been used to reliably diagnose performance problems in machinery and related mechanical products. A vibration data collector can be used effectively to measure and analyze the machinery vibration content in…

Computational Engineering, Finance, and Science · Computer Science 2012-08-16 Hisham A. H. Al-Khazali , Mohamad R. Askari

Lifecycle assessment of wind turbines is essential to improve their design and to optimum maintenance plans for preventing failures during the design life. A critical element of wind turbines is the composite blade due to uncertain cyclic…

Systems and Control · Electrical Eng. & Systems 2024-04-17 Chizhi Zhang , Hua-Peng Chen

The gearbox is a critical component of electromechanical systems. The occurrence of multiple faults can significantly impact system accuracy and service life. The vibration signal of the gearbox is an effective indicator of its operational…

Systems and Control · Electrical Eng. & Systems 2024-04-10 Shijin Chen , Zeyi Liu , Xiao He , Dongliang Zou , Donghua Zhou

The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maximum availability of the energy generation process using…

Artificial Intelligence · Computer Science 2022-11-28 Sohag Kabir , Koorosh Aslansefat , Prosanta Gope , Felician Campean , Yiannis Papadopoulos

The trend towards larger wind turbines and remote locations of wind farms fuels the demand for automated condition monitoring strategies that can reduce the operating cost and avoid unplanned downtime. Normal behaviour modelling has been…

Machine Learning · Computer Science 2021-06-29 Angela Meyer
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