Working Group "AI enhanced fault detection, supervision and safety of technical processes"
Objectives
It is recognized that Control and Artificial Intelligence theories can be synergistically integrated to provide better solutions for fault detection, supervision, and safety of technical systems. Analytical models of phenomena and tasks along with formal AI methods provide reliable and explainable solutions. On the other hand, the learning abilities provided by machine and deep learning further bring new possibilities that have not yet all been explored. Today, we can aim to extract knowledge by data mining, to learn or update diagnosis models from historical data and, ultimately, to hybridate model-based and data-based approaches.
This working group aims to create links between the Safeprocess and AI communities that could cross-fertilize the research on both sides. It is interested in all technical contributions that aim at providing AI-enhanced solutions for fault detection, supervision and safety of technical processes, together with surveys, and applications.
Areas for the working group
- AI enhanced fault detection, isolation, estimation, and diagnosis,
- AI enhanced predictive maintenance and supervision,
- AI enhanced prognostics and health monitoring,
- AI enhanced residual generation, residual evaluation,
- AI enhanced anomaly detection and on-line change detection,
- AI enhanced fault tolerant and cyber-secure control,
- AI enhanced active diagnosis, decision making, system reconfiguration and fault
Activities
- Organization an invited session at IFAC World Congress 2023
- Survey of the literature in the area of the working group
- Coordination meetings to promote the research activities in the area of the working group
Future activities
- Organize an invited session at IFAC Safeprocess, 2024
- Producing a compilation of papers in the area of the working
Members
Anibal Bregon
Philippe Goupil
Silke Merkelbach
Gustavo Perez
Vicenç Puig
Belarmino Pulido
Vasso Reppa
Dominique Sauter
Anna Sztyber-Betley
Javier Sotomayor
Daniel Jung
Ali Zolghadri
Contact persons
Louise Travé-Massuyès, LAAS-CNRS & ANITI (louise@laas.fr )
Elodie Chanthery, LAAS-CNRS & ANITI, INSA de Toulouse (elodie.chanthery@laas.fr )
- Organize an invited session at IFAC Safeprocess, 2024
- Producing a compilation of papers in the area of the working