Autonomous Fault Detection and Identification Methods (FDI 2015)
Fault Detection and Identification (FDI) has gained considerable attention in the last 40 years. While control tasks are majorly performed autonomously, FDI is still largely performed manually. Recent statistic studies show that more than 70% of the accidents in industries are caused by human errors. Early detection of a potential/occurring fault may prevent/reduce accidents, production and financial losses. The aim of this special session is to bring researchers in the field of Fault Detection and Identification from all over the world together, to exchange their ideas and approaches, to discuss and to present latest results on this field. Many different approaches to FDI have been proposed in the last few years and very often can be classified in model ‐ or process history ‐ based techniques, or even a combination of both. The first group covers all approaches that are either dependent on the mathematical or on the physical/behavioral model of the plant, which, either way, requires previous (quantitative or qualitative) knowledge about the process. The last group covers all approaches that are data-driven and based only on the data acquired from the process. Original research on Fault Detection, Isolation, Diagnosis, and Fault–Tolerant Schemes, as well successful applications are welcome.
- On‐line monitoring strategies
- Advanced techniques for fault detection
- Advanced techniques for fault isolation
- Advanced techniques for fault identification
- Quantitative Model‐based Approaches
- Qualitative Model-based Approaches
- Data-driven Approaches
- Fault recovery
- Fault-tolerant Control
- Data-driven identification methods for control
- Real world applications on FDI
Information for authors
The submitted papers should present results of the original and unpublished research. The papers will be reviewed by the CYBCONF 2015 International Program Committee. Accepted papers will be presented at the conference and will be included in the conference proceedings. Papers must be prepared using IEEE templates for conference proceedings. All papers must be submitted electronically via conference submission system.
|Paper submission:||March 15, 2015|
|Notification of acceptance:||April 15, 2015|
|Final paper submission and Early registration:||April 30, 2015|
|Conference:||June 24-26, 2015|
- Plamen Angelov
- Bruno Costa
- Luiz Affonso Guedes
- Radu-Emil Precup
- Moamar Sayed-Mouchaweh
- Igor Skrjanc
Special Session Program Committee
Plamen Angelov: Chair in Intelligent Systems, Data Science Group Leader, School of Computing and Communications, Lancaster University, Lancaster, UK.
Bruno Costa: Department of Informatics, Campus Natal – Zona Norte, Federal Institute of Rio Grande do Norte (IFRN), Natal, Brazil.
Luiz Affonso Guedes: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (UFRN), Natal, Brazil.
Radu-Emil Precup: Faculty of Automation and Computers, Department of Automation and Applied Informatics, Politehnica University of Timisoara, Timisoara, Romania.
Moamar Sayed-Mouchaweh: Computer Science and Automatic Control Department, High National Engineering School of Mines, France.
Igor Skrjanc: Chair of the Laboratory of Autonomous Mobile System