Advances in Artificial Intelligence and Sensors Technology for Prognostics Health Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 October 2024 | Viewed by 227
Special Issue Editors
Interests: artificial intelligence; signal processing; fault diagnosis
Interests: artificial intelligence; optimization method; image processing; fault diagnosis
Interests: intelligent diagnosis; optimization algorithm; big data technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, science and technology has developed rapidly. In order to keep up with new developments, various fields of equipment need to improve their complexity, accuracy, and efficiency. However, the working status of various pieces of equipment directly determines their health condition. Artificial intelligence and Sensor Technology are new technological sciences that study and develop theories, methods, technologies, and application systems for simulating, extending, and expanding human intelligence. This not only improves their efficiency and makes them less error-prone, but also has the advantages of imitating human decision-making, self-learning, and self transformation, and avoiding repeated errors. Prognostics health management is a key technology to ensure the safe and reliable operation of various equipment. Therefore, prognostics health management method and technology are crucial for ensuring the safe and reliable operation of various pieces of equipment, and avoiding serious accidents. This Special Issue welcomes any original and high-quality papers that address, but are not limited to, the following:
- Machine learning;
- Artificial neural networks;
- Deep learning;
- Transfer learning;
- Multi-task learning;
- Sensor networks;
- Remote sensing;
- Data sharing and privacy;
- Data mining and fusion;
- Signal processing;
- Feature extraction;
- Fault detection and diagnosis;
- Health monitoring and assessment;
- Residual life prediction;
- Intelligent optimization algorithm and application.
Prof. Dr. Huimin Zhao
Dr. Huayue Chen
Prof. Dr. Wu Deng
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. 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
- artificial intelligence
- sensors technology
- prognostics and health
- fault detection and diagnose
