Special Issue "Advances in Bearing Modeling, Fault Diagnosis, RUL Prediction"
A special issue of Machines (ISSN 2075-1702).
Deadline for manuscript submissions: 15 September 2022 | Viewed by 5120
Interests: dynamnic modeling and fault diagnosis of machinery
Special Issues, Collections and Topics in MDPI journals
Interests: condition monitoring and fault diagnosis
A variety of industrial and household appliances are equipped with rotating systems. These are used in electric motors, pumps, rotary engines and compressors, turbines, automobiles, railways, steel industries, power plants, materials-handling devices, jet engines, and many more. Bearings constitute one of the most critical components in rotating machinery. In today’s competitive environment, due to the increase in demand on running accuracy and nonlinearity involved in such systems, condition-based and predictive maintenance of bearings are gaining more popularity.
The objective of this Special Issue is to discover the most recent and significant developments in bearing modeling, fault diagnosis, and remaining useful life (RUL) prediction. This Special Issue encourages and welcomes original research articles with a significant contribution to numerical, theoretical and experimental analysis. Review articles related to these application areas are also invited.
Potential topics include but are not limited to:
- Modeling and simulation;
- Failure mechanism analysis;
- Intelligent sensors and flexible sensors;
- Wireless sensors and sensor networks;
- Signal processing theory and methods;
- Data acquisition and measurement methods;
- Bearing condition monitoring;
- Machine learning and intelligent fault diagnosis;
- Bearing RUL prediction;
- Big data analytics in bearings;
- Intelligent bearings.
Prof. Dr. Hongrui Cao
Prof. Dr. Jianping Xuan
Prof. Dr. Yongqiang Liu
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 1800 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.
- Bearing modeling
- Failure analysis
- Signal processing
- Condition monitoring
- Fault diagnosis
- RUL prediction
- Big data analytics