Journal of Sensors

Multidimensional Sensing and Big Data-Aided Intelligent Maintenance


Publishing date
01 Aug 2021
Status
Closed
Submission deadline
19 Mar 2021

Lead Editor
Guest Editors

1Chongqing University, Chongqing, China

2Chongqing Technology and Business University, Chongqing, China

3University of Warwick, Warwick, UK

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

Multidimensional Sensing and Big Data-Aided Intelligent Maintenance

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

Description

Multidimensional Sensing and Big Data Aided Intelligent Maintenance (MS-BDAIM) is a research field focusing on the theory and applications of multi-sensing, signal processing, and data mining in industrial scenarios. It aims to improve the efficiency and reliability of various industrial products and equipment.

The core of MS-BDAIM is to access hidden condition and quality clues using state-of-the-art sensing and big data techniques. Theories and applications for multidimensional sensing and internet of things (IoT) are encompassed. Sensing techniques include but are not limited to vibration, images, videos, electrical parameters, and operating condition configurations. Feature extraction, feature selection and feature fusion for decision making in industrial scenarios are within the scope of this Issue. Approaches that aim to perform denoising, preprocessing, sensitive feature identification, and operating condition isolation in industrial scenarios are also welcome. Intelligent maintenance approaches denote using intelligent learning frameworks and algorithms (such as machine learning, deep learning, transfer learning, reinforce learning, etc.) to benefit industrial applications (fault diagnosis, remaining life prediction, quality evaluation, operation parameter optimization, etc.).

The focus of the Special Issue will be on a broad range of multidimensional sensing, IoT, feature extraction, data mining in industrial scenarios, prognostic and health management (PHM), and intelligent maintenance involving novel theories, algorithms, and applications. Original research and review articles on these topics are welcome.

Potential topics include but are not limited to the following:

  • Multidimensional sensing
  • IoT
  • Data mining in industrial scenarios
  • Prognostic and health management (PHM)
  • Intelligent maintenance
  • Machine learning: theory, algorithms and applications
  • Life prediction and reliability assessment
  • Vibration and noise control
  • Feature extraction, feature selection and feature fusion

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9927348
  • - Research Article

Research on Safety Evaluation of Commercial Vehicle Driving Behavior Based on Data Mining Technology

Shuilong He | Yongliang Wang | ... | Enyong Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 9921101
  • - Research Article

Detail 3D Face Reconstruction Based on 3DMM and Displacement Map

Tianping Li | Hongxin Xu | ... | Honglin Wan
  • Special Issue
  • - Volume 2021
  • - Article ID 9926442
  • - Research Article

Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm

Hanlin Liu | Linqiang Yang | Linchao Li
  • Special Issue
  • - Volume 2021
  • - Article ID 9985063
  • - Research Article

Energy Management of Fuel Cell Vehicles Based on Model Prediction Control Using Radial Basis Functions

Weiwei Xin | Weiguang Zheng | ... | Chunyu Ji
  • Special Issue
  • - Volume 2021
  • - Article ID 9943153
  • - Research Article

Quality Prediction of Strip in Finishing Rolling Process Based on GBDBN-ELM

Shuang Li | Jian Wang | Sen Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 6687295
  • - Research Article

Vibration Diagnosis and Treatment for a Scrubber System Connected to a Reciprocating Compressor

Shuangshuang Li | Guicheng Yu | ... | Huaming Han
Journal of Sensors
 Journal metrics
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Acceptance rate52%
Submission to final decision53 days
Acceptance to publication24 days
CiteScore3.200
Journal Citation Indicator0.500
Impact Factor2.336
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.