Signal Processing and Sensing Technologies for Fault Diagnosis

Dear Colleagues,

Recently, we have seen a growing amount of interest in signal processing and sensing methods for fault diagnosis. However, more effective sensing technology and more powerful signal processing methods are still required to make fault diagnosis more reliable and practical in industrial applications. Recent advances in signal processing and sensing technologies have made highly effective condition monitoring and prognosis available for key equipment, such as aircraft engines, wind turbines, high-speed trains, CNC machines, etc.

This Special Issue therefore aims to put together original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of signal processing and sensing technologies.

Potential topics include but are not limited to:

• Sensing technologies for condition monitoring and fault diagnosis;
• Multisensory signal fusion methods;
• Signal enhancement methods;
• Data analytics and condition monitoring via ML/AI techniques;
• Dynamic models and model-based techniques;
• Time–frequency analysis methods;
• Angular approaches;
• Predictive maintenance using artificial intelligence;
• Feature fusion methods;
• Health indicators for condition monitoring and fault diagnosis;
• Digital-twin-based fault diagnosis;
• Interpretable deep learning for fault diagnosis.

Dr. Yi Wang
Dr. Longting Chen
Dr. Liang Guo
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.