Sensors for Predictive Maintenance of Machines

Dear Colleagues,

Over the last few years, there have been some major breakthroughs in smart sensing technologies and in artificial intelligence (AI), including the emergence of pre-trained large AI models. Applications of these breakthrough technologies in machine predictive maintenance will have a very significant impact on the operation and maintenance of modern machinery. This Special Issue (SI) is aimed at providing a platform for researchers and developers to share their most current results in machine condition monitoring, structural health monitoring, signal processing for fault detection and diagnosis, smart sensing and edge computing, and non-destructive testing (NDT). Topics of interest include the application of smart sensors and pre-trained large AI models to analyze vibration and acoustic data, text data, image data and voice data for machine predictive maintenance. Contributions can be of both theoretical and application nature and include original research, as well as review and tutorial types of articles. We particularly encourage submissions with the keywords listed below. However, the SI will be under the "Fault Diagnosis & Sensors" Section, and all the keywords of the Section are applicable (but not limited to) to this SI.

Dr. Wenyi Wang
Guest Editor

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.

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.

• AI-based machine predictive maintenance
• mechanical fault detection and diagnosis
• big data analytics for condition/health monitoring
• failure trending and prognosis
• structural health monitoring methods, technologies and systems
• advanced signal processing for condition/health monitoring
• smart and novel sensors for condition/health monitoring
• sensor networks and data fusion for fault diagnosis, failure prognosis and NDT