A comparative study on vibration-based condition monitoring algorithms for wind turbine drive trains-Reference-Cited by-同舟云学术

A comparative study on vibration-based condition monitoring algorithms for wind turbine drive trains

Published:2013-01-11 Issue:5 Volume:17 Page:695-714
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energ.

Author:

Siegel David¹,Zhao Wenyu¹,Lapira Edzel¹,AbuAli Mohamed¹,Lee Jay¹

Affiliation:

1. Department of Mechanical Engineering, Center for Intelligent Maintenance Systems; University of Cincinnati; PO Box 210072 Cincinnati Ohio 45221-0072 USA

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/we.1585/fullpdf

Reference29 articles.

1. NREL Wind power today 2010 2010

2. Condition monitoring of wind turbines and related algorithms: a review;Hameed;Renewable and Sustainable Energy Reviews,2009

3. Improved wind turbine condition monitoring using acceleration enveloping;Hatch;Orbit,2004

4. A review of recent advances in wind turbine condition monitoring and fault diagnosis;Lu;Proceedings of IEEE Conference on Power Electronics and Machines in Wind Application,2009

5. Statistical fault diagnosis based on vibration analysis for gear test-bench under non-stationary conditions of speed and load;Villa;Mechanical Systems and Signal Processing,2011

Cited by 50 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Noise-Robust Neural Network For Wind Turbine Gearbox Fault Diagnosis;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

2. Wind turbine database for intelligent operation and maintenance strategies;Scientific Data;2024-02-29

3. Data-Driven Models Applied to Predictive and Prescriptive Maintenance of Wind Turbine: A Systematic Review of Approaches Based on Failure Detection, Diagnosis, and Prognosis;Energies;2024-02-21

4. Review of spectrum analysis in fault diagnosis for mechanical equipment;Engineering Research Express;2023-10-11

5. Impact of condition monitoring on the maintenance and economic viability of offshore wind turbines;Reliability Engineering & System Safety;2023-10