Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach C Djeddi, A Hafaifa, A Iratni, N Hadroug, XQ Chen Journal of Manufacturing Systems 59, 190-213, 2021 | 28 | 2021 |
Parametric identification of multivariable industrial system using left matrix fraction description B Nail, A Kouzou, A Hafaifa, C Djeddi J. Automation & Systems Engineering 10 (4), 221-230, 2016 | 5 | 2016 |
Handling uncertainty in emergency plan evaluationusing generalized Petri Nets: Case study: Loss of a condensate tank containment I Fares, H Rachida, D Choayb 2014 1st International Conference on Information and Communication …, 2014 | 2 | 2014 |
Comparative study between several controller approaches: application to gas turbine system N Hadroug, A Hafaifa, B Nail, C Djeddi 2019 1st International Conference on Sustainable Renewable Energy Systems …, 2019 | 1 | 2019 |
Reliability modeling of gas turbine plant based on optimal WEIBULL model using artificial neural network AB Tahar, B Nail, A Hafaifa, B Djaidir, C Djeddi The 2nd International Conference on Applied Automation and Industrial …, 2017 | 1 | 2017 |
Reliability assessment of complex safety instrumented systems using stochastic Petri nets C Djeddi, A Hafaifa, M Guemana, B Nail 2sd Int. Conf. Appl. Autom. Ind. Diagn.(ICAAID, 2017 | 1 | 2017 |
Évaluation de la performance des plans internes d’intervention au moyen des réseaux de Petri C DJEDDI Université de Batna 2, 2015 | 1 | 2015 |
Evaluation des performances du système d'arrêt d'urgence ESD: Cas de l'unité RGTE C Djeddi Éditions universitaires européennes, 2018 | | 2018 |
Évaluation de la performance des plans internes d'intervention: au moyen des réseaux de Petri R Hamzi, C Djeddi Éditions universitaires européennes, 2017 | | 2017 |
Evaluation de performances d'un système surveillance pour la réponse à l’urgence utilisant les réseaux de Petri C Djeddi, M Guemana, A Kouzou, A Hafaifa 3 ème Conférence Internationale de Mécanique – Annaba – 2017, 2017 | | 2017 |
Détection de défauts d’une turbine à gaz basé sur des observateurs flous pour l’amélioration leur efficacité C DJEDDI Université de Djelfa-Ziane Achour, 0 | | |