Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "State Monitoring and Health Management of Complex Equipment"
A special issue of Aerospace (ISSN 2226-4310).
Deadline for manuscript submissions: 31 May 2023 | Viewed by 14170
Special Issue Editor
Interests: aircraft design and optimization; model updating; probabilistic modeling; structural health monitoring; structural reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue in Applied Sciences: Aircrafts Reliability and Health Management Volume II
Special Issue Information
The development of complex industrial equipment involves a combination of mechanical, electronics, materials, and other interdisciplinary studies, and the state monitoring and health management of complex equipment in aerospace, high-speed rail systems, and other industrial sectors are becoming increasingly complex. The difficulties faced in state monitoring and health management are not only due to the complexity of equipment but also the integration of modeling techniques, mathematical algorithms, and maintenance polices. Therefore, the development of advanced state monitoring methods, prediction methods, and health assessment technologies in industry would result in substantial benefits. We plan to launch this Special Issue on Aerospace with the intention of discussing state-of-the-art and future trends in state monitoring and health management methods for complex industrial equipment. The objective of this Special Issue is to improve the reliability, safety, economy and maintainability of complex equipment. Topics of interest include, but not limited to, reliability analysis, reliability optimization, failure prediction, signal processing and fault diagnosis, fault/state monitoring, remaining useful life estimation, health assessment, and maintenance decision optimization. This Special Issue welcomes the submissions describing theoretical, analytical, technical, engineering, and experimental investigations of complex equipment. Through its contributions, this Special Issue aims to drive further improvements in structural/system reliability analysis techniques, model-based and data-driven modeling methods, computer simulation technologies, reliability-based design optimization techniques, maintenance police optimization techniques, and other related interdisciplinary techniques in complex equipment reliability and health management.
Potential topics of interest include, but are not limited to structural/system state monitoring; reliability evaluation and prediction; reliability-based design optimization; advanced signal processing, fault diagnosis, and faults monitoring methods; model-based and data-driven detection for state monitoring and health management; modeling and simulation methods on remaining useful life estimates of complex systems or components; health monitoring technologies; machine learning, deep learning models for complex equipment health assessment; maintenance policy optimization for complex equipment; performance estimation and prediction for complex equipment.
Prof. Dr. Cheng-Wei Fei
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. Aerospace 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.
- complex equipment
- state monitoring
- health management
- modeling techniques
- fault diagnosis and prediction
- operation and maintenance