Sensors for Machinery Condition Monitoring and Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 7398
Special Issue Editors
Interests: condition monitoring and diagnosis of machinery; diagnostic instrument and system for machinery; decision making of maintenance policy; diagnosis and inspection robot for plant machinery
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; online diagnosis; safety assessment
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; intelligent diagnosis; feature extraction
Interests: visual inspection; intelligent detection; measure technology
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 100 words) can be sent to the Editorial Office for announcement on this website.
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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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