Acoustic emission detection of fatigue cracks in wind turbine blades based on blind deconvolution separation-Reference-Cited by-同舟云学术

Acoustic emission detection of fatigue cracks in wind turbine blades based on blind deconvolution separation

Published:2016-12-19 Issue:6 Volume:40 Page:959-970
ISSN:8756-758X
Container-title:Fatigue & Fracture of Engineering Materials & Structures
language:en
Short-container-title:Fatigue Fract Engng Mater Struct

Author:

Bo Z¹,Yanan Z²,Changzheng C²³

Affiliation:

1. School of Architecture and Civil Engineering; Shenyang University of Technology; Shenyang 110870 China

2. School of Mechanical Engineering; Shenyang University of Technology; Shenyang 110870 China

3. Liaoning Engineering Center for Vibration and Noise Control; Shenyang 110870 China

Funder

National Natural Science Foundation of China

Nation Postdoctoral Science Foundation of China

Liaoning Educational Department Foundation of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ffe.12556/fullpdf

Reference28 articles.

1. Fatigue estimation for a rotating blade of a wind turbine;Mahriet;Rev. Energ. Ren.,2002

2. Condition monitoring and fault detection of wind turbines and related algorithms: A review;Hameed;Renew. Sustain. Energy Rev.,2009

3. A. G. Dutton M. Blanch P. Vionis V. Kolovos D. R. V. van Delft P. Joosse A. Anastassopoulos D. Kouroussis T. Kossivas J. ter Laak T. P. Philippidis Y. G. Kolaxis G. Fernando G. Zheng T. Liu A. Proust 2000 A acoustic emission monitoring from wind turbine blades undergoing static and fatigue testing Proceedings of 15th World Conference on Non-Destructive Testing Roma 15 21

4. Fatigue crack propagation monitoring by acoustic emission signal analysis;Antonaci;Eng. Fract. Mechs.,2012

5. Spatial scanning for anomaly detection in acoustic emission testing of an aerospace structure;Hensmana;Mechanic. Syst. Sign. Proc.,2011

Cited by 38 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. Comparative analysis of offshore wind turbine blade maintenance: RL-based and classical strategies for sustainable approach;Reliability Engineering & System Safety;2025-01

2. A single-sensor method for structural damage localization in wind turbine blades: Laboratory assessment on a blade segment;Mechanical Systems and Signal Processing;2024-05

3. Improved YOLOv5 Based on Multi-Strategy Integration for Multi-Category Wind Turbine Surface Defect Detection;Energies;2024-04-09

4. A hybrid deep learning method for AE source localization for heterostructure of wind turbine blades;Marine Structures;2024-03

5. Wind Turbine Blade Surface Defect Detection Based on YOLO Algorithm;Lecture Notes in Mechanical Engineering;2024