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Sensors for Machinery Condition Monitoring and Diagnosis

This special issue belongs to the section “Fault Diagnosis & Sensors“.

Special Issue Information

Dear Colleagues,

In recent years, the number of technological innovations in Industry 4.0 and IoT has been increasing due to the utilization of big data and artificial intelligence (AI), and the era named the Fourth Industrial Revolution is about to come. In order to realize IoT in production/transportation equipment and social infrastructure facilities, effective condition diagnosis technology of equipment, to prevent serious equipment issues and accidents and to ensure safety and security, is also indispensable.

This Special Issue focuses on methods and results obtained in fundamental and applied research pertaining to techniques and systems of condition monitoring and diagnosis for machinery. We welcome everyone from related fields to actively contribute original papers.

The topics of interest for submission in the field of sensors for machinery condition monitoring and diagnosis include, but are not limited to, the following:

(1) Condition diagnosis engineering and technology;

(2) Sensing technology;

(3) Measurement system;

(4) Diagnostic instrument and system;

(5) Fault self-recovery engineering;

(6) Signal processing;

(7) Data and information fusion;

(8) Maintenance robot;

(9) Life prediction;

(10) Others on condition monitoring and diagnosis for machinery

Prof. Dr. Peng Chen
Dr. Hongtao Xue
Prof. Dr. Huaqing Wang
Prof. Dr. Ke Li
Dr. Liuyang Song
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensors
  • condition monitoring
  • condition diagnosis
  • rotating machinery
  • production plant equipment
  • transportation equipment
  • social infrastructure facilities

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Sensors - ISSN 1424-8220