Shock and Vibration

Advances in Fault Diagnosis and Defect Detection in Mechanical and Civil Engineering


Publishing date
01 Nov 2020
Status
Closed
Submission deadline
03 Jul 2020

Lead Editor

1Wenzhou University, Wenzhou, China

2Amity University, Uttar Pradesh, India

3Beijing University of Civil Engineering and Architecture, Beijing, China

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

Advances in Fault Diagnosis and Defect Detection in Mechanical and Civil Engineering

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

Description

Fault diagnosis and defect detection are now the key and crucial issues for mechanical and civil structures due to the increase of accident ratios and maintenance costs. Recently, more focus has been on fault diagnosis and defect detection for mechanical and civil structures. The history of fault diagnosis and defect detection, beginning in the 1960s, shows that new developments in this area always occur alongside new sensor technologies and measurement methods.

In order to rapidly report and spread the latest advancements in the science of fault diagnosis and detection, including new discoveries and valuable applied research, from all over the world, this Special Issue intends to publish original research and review articles into all aspects of theoretical and applied investigations about the latest development of sensor technologies and measurement methods for the detection of defects and diagnosis of faults.

The intention of this Special Issue is to open a broad scientific and technical forum for further development of fault diagnosis and defect detection technology. The main themes will be theory and background as well as applications in mechanical and civil engineering. Original research studies and review articles related to the above themes are encouraged.

Potential topics include but are not limited to the following:

  • Vibration analysis for fault diagnosis
  • Guided waves analysis for defect detection
  • Sensors and data acquisition techniques for online monitoring of faults
  • Model-based health monitoring method with applications
  • Signal processing for mechanical and civil structures
  • Artificial intelligent models for mechanical and civil structures
  • Case study in fault diagnosis of real-world running machines or civil structures

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8841598
  • - Research Article

Research on Cab Vibration Control Based on Parameter Hierarchical Interaction Model

Enyong Xu | Shuilong He | ... | Qibai Huang
  • Special Issue
  • - Volume 2020
  • - Article ID 8837958
  • - Research Article

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis

Chao Fu | Qing Lv | Hsiung-Cheng Lin
  • Special Issue
  • - Volume 2020
  • - Article ID 8886714
  • - Research Article

Structural Dynamic Load and Parameter Identification Based on Dummy Measurements of Displacement

Ting Wang | Zhimin Wan | ... | Shuilong He
  • Special Issue
  • - Volume 2020
  • - Article ID 4189419
  • - Research Article

Lithological Interface Detection Using an Impact Source

Xu Jian | Hongtao Li | ... | Wei Qiao
  • Special Issue
  • - Volume 2020
  • - Article ID 8045626
  • - Research Article

Mode Selection Model for Rail Crack Detection Based on Ultrasonic Guided Waves

Bo Xing | Zujun Yu | ... | Hongmei Shi
  • Special Issue
  • - Volume 2020
  • - Article ID 8898944
  • - Research Article

Fault Diagnosis Method Research of Mechanical Equipment Based on Sensor Correlation Analysis and Deep Learning

Tangbo Bai | Jianwei Yang | ... | Yanxue Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8861899
  • - Research Article

Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element

Xin Zhang | Changfeng Yan | ... | Lixiao Wu
  • Special Issue
  • - Volume 2020
  • - Article ID 5742053
  • - Research Article

Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation

Chhaya Grover | Neelam Turk
  • Special Issue
  • - Volume 2020
  • - Article ID 8752656
  • - Research Article

Wave Motion Analysis in Plane via Hermitian Cubic Spline Wavelet Finite Element Method

Xiaofeng Xue | Xinhai Wang | ... | Wei Xue
  • Special Issue
  • - Volume 2020
  • - Article ID 8829823
  • - Research Article

General Log-Linear Weibull Model Combining Vibration and Temperature Characteristics for Remaining Useful Life Prediction of Rolling Element Bearings

Mingzhu Lv | Shixun Liu | ... | Changzheng Chen
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
 Submit

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.