Recent Advances in Condition Monitoring and Fault Diagnosis of Rotating Machinery
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 15
Special Issue Editor
Special Issue Information
Dear Colleagues,
Rotating machinery is the backbone of critical industrial systems, including energy generation, manufacturing, transportation, and aerospace. Unexpected failures can lead to costly downtime, safety hazards, and environmental impacts. The evolution of sensing technologies, data analytics, and artificial intelligence has revolutionized condition monitoring (CM) and fault diagnosis (FD), yet challenges persist in accuracy, adaptability, and real-time deployment. This Special Issue seeks cutting-edge research addressing these challenges. We invite original contributions and reviews focusing on recent innovations in the following areas:
- Advanced Sensing and Signal Acquisition: Novel sensors (e.g., MEMS, wireless), embedded systems, and IoT integration.
- Intelligent Data Processing: AI/ML-driven diagnosis (deep learning, transfer learning), signal decomposition techniques (e.g., variational modes), and noise-robust feature extraction.
- Fault Prognosis and Digital Twins: Predictive maintenance frameworks, remaining useful life (RUL) estimation, and physics-informed digital twins.
- Emerging Applications: Real-time monitoring in harsh environments, edge computing, and scalable solutions for Industry 4.0/5.0.
Submissions should demonstrate rigorous validation via case studies, simulations, or experimental data. By compiling state-of-the-art methodologies, this issue aims to enhance the reliability, safety, and efficiency of rotating machinery across industries.
Dr. Tianci Zhang
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. Machines is an international peer-reviewed open access monthly 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
- fault diagnosis
- condition monitoring
- rotating machinery
- mechanical signal processing
- deep learning
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