A vibro-acoustic signals hybrid fusion model for blade crack detection-Reference-Cited by-同舟云学术

A vibro-acoustic signals hybrid fusion model for blade crack detection

Published:2023-12 Issue: Volume:204 Page:110815
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Ma Tianchi,Shen Junxian,Song Di,Xu Feiyun^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference49 articles.

1. Multi-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning;Song;Mech. Syst. Signal. Pr.,2023

2. Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance;Ma;Structural Health Monitoring,2023

3. Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection;Song;Structural Health Monitoring,2022

4. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings;Jiao;Reliab. Eng. Syst. Safe.,2019

5. Fault feature recognition of centrifugal compressor with cracked blade based on SNR estimation and adaptive stochastic resonance;Song;Structural Health Monitoring,2023

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