Special Issue "Fault Detection, Diagnosis, and Recovery: Concept, Modeling, and Optimization"
A special issue of Machines (ISSN 2075-1702).
Deadline for manuscript submissions: closed (30 September 2018)
Dr. Kouroush Jenab
Fault detection and diagnosis, which is a key component of many operations management automation systems, become a complicated process in complex systems (CS) and systems of systems (SoS). In such systems, automated fault detection and diagnosis depends heavily on input from sensors or derived measures of performance that must be differentiated and analyzed through big data techniques. As a result, further development in monitoring, detection, diagnosis, and recovery techniques, modeling, and optimization is a must.
Therefore, this Special Issue will bring together papers, which particularly describe recent advances in monitoring, detection, diagnosis, and recovery mechanisms with an emphasis on CS and SoS, describing the application of novel theories across all areas for improving operation management automation. Papers that include practical experimental results are particularly encouraged.Dr. Kouroush Jenab
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 papers will be 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 quarterly 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 550 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.
- Intelligent Fault Detection and Diagnosis
- Heuristic Methods for Fault Detection and Diagnosis
- Big Data for Fault Detection and Diagnosis
- Fault Isolation in Systems of Systems (SoS)
- System Monitoring
- Condition Based Monitoring
- Measures of Performance
- Virtual Reality