Condition Monitoring and Intelligent Fault Diagnosis for Mechanical Equipment and Complex System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 1016
Special Issue Editors
Interests: reliability; fault diagnostics; prognostics and health management; safety; intelligent vehicles
Interests: software reliability; safe AI; Bayesian inference; probabilistic model checking; safety assurance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on "Condition Monitoring and Intelligent Fault Diagnosis for Mechanical Equipment and Complex System" aims to provide a platform for innovative research focused on improving the reliability, safety, and efficiency of mechanical systems through advanced monitoring, diagnostic, and prognostic techniques. With the increasing complexity of modern machinery, effective maintenance strategies that can predict and diagnose faults in real time are critical to minimizing downtime and extending equipment life.
This Special Issue invites original contributions that explore both established and emerging methods in condition monitoring, such as vibration analysis, acoustic emission, and thermography, as well as intelligent fault diagnosis and prognostics utilizing cutting-edge technologies like artificial intelligence, machine learning, and data fusion. We are particularly interested in research that integrates Remaining Useful Life (RUL), diagnostic, prognostic, and other related maintenance strategies with IoT, digital twins, and sensor networks to enable comprehensive failure detection and prediction and enhance lifecycle management. This Special Issue encourages submissions that bridge theoretical research and practical applications, including case studies from various industries. By focusing on both diagnostics and prognostics, this Special Issue aims to showcase advancements that anticipate faults, optimize maintenance schedules, and reduce operational risks in complex mechanical systems.
Dr. Morteza Soleimani
Dr. Xingyu Zhao
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.
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. Applied Sciences 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 2400 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
- fault diagnosis
- prognostics
- complex mechanical systems
- artificial intelligence
- predictive maintenance
- machine learning
- IoT in maintenance
- data-driven fault detection
- remaining useful life (RUL)
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
