Shock and Vibration

Advances in Vibration Signal Time-Frequency Analysis for Defect Detection


Publishing date
01 Feb 2021
Status
Closed
Submission deadline
02 Oct 2020

Lead Editor

1Donghua University, Shanghai, China

2Nanjing University of Aeronautics and Astronautics, Nanjing, China

3Shanghai University, Shanghai, China

4University of Toronto, Toronto, Canada

This issue is now closed for submissions.
More articles will be published in the near future.

Advances in Vibration Signal Time-Frequency Analysis for Defect Detection

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Time-frequency analysis is a powerful tool for analyzing time-varying non-stationary signals, which has become a popular topic in modern signal processing research. Time-frequency analysis can express the signal in time and frequency at the same time, so that the signal features that are difficult to get in time domain can be displayed clearly in time-frequency domain, which has an excellent application prospect in defect detection.

Time-frequency analysis is a very important signal processing technology, however, there are some defects in current time-frequency analysis methods, such as modal aliasing end effect. Therefore, it is important to study new time-frequency analysis methods and their applications in defect detection.

To rapidly report and spread the latest advancements in the science of vibration signal time-frequency analysis for defect detection, this Special Issue intends to publish original research and review articles on all aspects of theoretical and applied investigations about vibration signal time-frequency analysis for defect detection. The defects include crack, wear and tear of mechanical device, and so on. We welcome articles that focus on new time-frequency analysis methods for intelligent detection, adaptive time-frequency analysis method, new time-frequency image analysis method and their application in defect detection, and so on, original research studies and review articles related to the above themes are encouraged.

Potential topics include but are not limited to the following:

  • New time-frequency analysis method for intelligent detection
  • Time-frequency analysis for defect detection in a mechanical device
  • Adaptive time-frequency analysis method
  • New time-frequency image analysis method
  • Defect detection system based on vibration signal time-frequency analysis

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8810047
  • - Research Article

Estimation and Control for Industrial Products Reliability under Failure Trials

Kui Wang | Lili Ding
  • Special Issue
  • - Volume 2020
  • - Article ID 8851310
  • - Research Article

An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutation Entropy

Wuqiang Liu | Xiaoqiang Yang | Shen Jinxing
  • Special Issue
  • - Volume 2020
  • - Article ID 8893381
  • - Research Article

Estimating Network Flowing over Edges by Recursive Network Embedding

Liqun Yu | Hongqi Wang | Haoran Mo
  • Special Issue
  • - Volume 2020
  • - Article ID 8816453
  • - Research Article

Multiphysics Modeling of Gas Turbine Based on CADSS Technology

Tian Wang | Ping Xi | Bifu Hu
  • Special Issue
  • - Volume 2020
  • - Article ID 8873137
  • - Research Article

Learning Transferable Convolutional Proxy by SMI-Based Matching Technique

Wei Jin | Nan Jia
  • Special Issue
  • - Volume 2020
  • - Article ID 8846429
  • - Research Article

Consensus Mechanism of IoT Based on Blockchain Technology

Yue Wu | Liangtu Song | ... | Linli Zhou
  • Special Issue
  • - Volume 2020
  • - Article ID 8837071
  • - Research Article

A Novel Efficient Passive Spatial Orientation Detection Method of UMT Enabled by ISB

Zhengqiang Xiong | Tao Sun | ... | Jie Yin
  • Special Issue
  • - Volume 2020
  • - Article ID 8826802
  • - Research Article

Data Analysis for Predictive Maintenance of Servo Motors

Oguz Girit | Gurcan Atakok | Sezgin Ersoy
  • Special Issue
  • - Volume 2020
  • - Article ID 8895000
  • - Research Article

Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm

Siming Meng
  • Special Issue
  • - Volume 2020
  • - Article ID 8873353
  • - Research Article

Precision Improvement for the Detection of TGC via RBF Network

Yue Yan
Shock and Vibration
 Journal metrics
Acceptance rate36%
Submission to final decision92 days
Acceptance to publication38 days
CiteScore2.200
Journal Citation Indicator0.380
Impact Factor1.543
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.