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Applications of Sensors in Condition Monitoring and Fault Diagnosis

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 250

Special Issue Editor


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Guest Editor
School of Mechanical Engineering, Shandong University, Shandong 250061, China
Interests: machine vision for inspection and measurement in industrial applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As awareness grows regarding safety consciousness and technological development, innovative technologies for the health monitoring and diagnostics of machinery have garnered increasing attention. The application of sensors has emerged as a new opportunity for improving condition monitoring and fault diagnosis in various machines. In particular, the integration of sensors with IoT devices has enabled the collection of vast amounts of real-time data, which can be processed by advanced artificial intelligence algorithms to detect anomalies, predict failures, and enable intelligent diagnosis. Recent developments in artificial intelligence algorithms, such as signal processing techniques; machine learning techniques; deep learning techniques, have shown significant potential in enhancing the accuracy and efficiency of fault detection, condition assessment, and prognostics.

This special issue aims to showcase high-quality original research articles, comprehensive review papers, and insightful communications highlighting the latest advancements in sensor technologies and their applications in industrial machinery fault diagnosis. We encourage contributions that push the boundaries of current knowledge and offer innovative solutions for the enhancement of health monitoring, prediction, and fault detection. We also welcome scholars to contribute to advancing the field and achieving further milestones in the realm of fault diagnosis and condition monitoring.

Dr. Guoliang Lu
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.

Keywords

  • condition monitoring
  • intelligent diagnosis
  • health monitoring
  • fault detection
  • fault diagnosis
 

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Published Papers

This special issue is now open for submission.
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