A Generic Prognostic Methodology Using Damage Trajectory Models. - Flavien Peysson; Mustapha Ouladsine; Rachid Outbib; Jean-Baptiste Léger; Olivier Myx; Claude Allemand (IEEE Trans. Reliab., 2009)

A Study on Health Diagnosis and Prognosis of an Industrial Diesel Motor: Hidden Markov Models and Particle Filter Approach. - Walid Mechri; Hai Canh Vu; Phuc Do; Timothee Klingelschmidt; Flavien Peysson; Didier Theilliol (DPS, 2017)

Fault diagnosis and prognosis by using Input-Output Hidden Markov Models applied to a diesel generator. - Timothee Klingelschmidt; Philippe Weber; Christophe Simon; Didier Theilliol; Flavien Peysson (MED, 2017)

Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things. - Arda Goknil; Phu Hong Nguyen; Erik Johannes Husom; Sagar Sen; Simeon Tverdal; Flavien Peysson; Dimitra Politaki; Roberto González-Velázquez (IoT, 2024)

Automating the labeling of industrial data: a challenge and an opportunity to boost the development of Condition-Based Monitoring in Industry 4.0. - Philippe Lepetit; Leila Belmerhnia; Flavien Peysson (ISM, 2024)