Shock and Vibration

Vibration-Based Damage Identification and Condition Monitoring in Mechanical Structures and Components


Publishing date
01 Jun 2018
Status
Published
Submission deadline
12 Jan 2018

Lead Editor

1Silesian University of Technology, Katowice, Poland

2Hohai University, Nanjing, China

3Silesian University of Technology, Gliwice, Poland

4Riga Technical University, Riga, Latvia


Vibration-Based Damage Identification and Condition Monitoring in Mechanical Structures and Components

Description

Damage detection and identification as well as continuous condition monitoring are some of the most important issues related to proper operation of machines and structural parts in order to ensure their structural integrity, safety, and desirable operational properties. In recent years, an exponential development of vibration-based methods for damage detection and identification as well as condition monitoring used for machines and structures has been observed. This development was possible for two main reasons: the advance of apparatus and measurement techniques in vibration engineering and the development of advanced mathematical tools for signal conditioning and postprocessing. Both of these reasons influence modern trends related to vibration-based damage identification and condition monitoring in mechanical structures and components.

The special issue will focus on recent attempts in development of vibration-based damage identification in mechanical structures, also homogeneous and inhomogeneous structures, especially stressing the later such as advanced composites, and related issues connected with modal analysis and structural dynamic analysis. Moreover, the special issue will cover damage identification and monitoring topics related to theoretical studies and numerical simulations as well as practical solutions, in particular in rotary machinery and vibration-generating devices, structural elements of heavy machinery and vehicles, and so on. Thus the special issue will collect interdisciplinary approaches on vibration-based damage identification and condition monitoring and it will be good motivation to consider and develop some innovative directions of research.

Potential topics include but are not limited to the following:

  • Methods and apparatus of vibration-based damage detection and identification
  • Damage detection and identification in homogeneous and heterogeneous structures
  • Health monitoring in homogeneous and heterogeneous structures
  • Damage identification and condition monitoring in machines
  • Identification of machinery nonstationary and anomalous operation
  • Advanced signal processing methods for vibration-based damage identification and condition monitoring
  • Advanced theoretical discussion on vibration propagation and dissipation in technical system
  • Damage modeling and simulations
  • Practical cases of damage detection and condition monitoring
  • Damage assessment under noisy conditions
  • Detection of damage considering environmental uncertainty and operational variations
  • Damage locating vector
  • Transmissibility based methods
  • Damage and monitoring analytics
  • Techniques on online, real-time condition monitoring of structural components

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 5382398
  • - Research Article

A SVDD and -Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions

Zhinong Jiang | Minghui Hu | ... | Hao Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 9432394
  • - Research Article

A New Method for Weak Fault Feature Extraction Based on Improved MED

Junlin Li | Jingsheng Jiang | ... | Liangchao Chen
  • Special Issue
  • - Volume 2017
  • - Article ID 9760940
  • - Research Article

Acoustic Emission Monitoring and Failure Precursors of Sandstone Samples under Various Loading and Unloading Paths

Jie Xu | Jingdong Jiang | ... | Yufeng Gao
  • Special Issue
  • - Volume 2017
  • - Article ID 8098591
  • - Research Article

Analysis of the Impacts of Bearing on Vibration Characteristics of Rotor

Peiji Yang | Qi Yuan | ... | Yu Zhou
  • Special Issue
  • - Volume 2017
  • - Article ID 6565237
  • - Research Article

Planetary Gearbox Fault Diagnosis via Torsional Vibration Signal Analysis in Resonance Region

Kangqiang Li | Zhipeng Feng | Xihui Liang
  • Special Issue
  • - Volume 2017
  • - Article ID 5164594
  • - Research Article

Nonpenetrating Damage Identification Using Hybrid Lamb Wave Modes from Hilbert-Huang Spectrum in Thin-Walled Structures

Zijian Wang | Pizhong Qiao | Binkai Shi
  • Special Issue
  • - Volume 2017
  • - Article ID 5318785
  • - Research Article

Information-Based Construction of High-Speed Railway Tunnel

Qian Yang | Zhaoling Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 8345704
  • - Research Article

Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm

M. Buzzoni | E. Mucchi | ... | G. Dalpiaz
  • Special Issue
  • - Volume 2017
  • - Article ID 3698370
  • - Research Article

Data-Driven Iterative Vibration Signal Enhancement Strategy Using Alpha Stable Distribution

Grzegorz Żak | Agnieszka Wyłomańska | Radosław Zimroz
  • Special Issue
  • - Volume 2017
  • - Article ID 1963769
  • - Research Article

Measures of Dependence for -Stable Distributed Processes and Its Application to Diagnostics of Local Damage in Presence of Impulsive Noise

Grzegorz Żak | Marek Teuerle | ... | Radosław Zimroz
Shock and Vibration
 Journal metrics
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Acceptance rate27%
Submission to final decision102 days
Acceptance to publication17 days
CiteScore2.800
Journal Citation Indicator0.400
Impact Factor1.6
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