Sixth International Conference on Advances in Computing, Electronics and Communication - ACEC 2017
Author(s) : A. CHATZINIKOLAOU, C. ANGELI
A large diversity of advanced methods for automated fault detection has been developed with a variety of techniques in different domains. The effectiveness of the diagnosis for technical processes is highly improved when the diagnostic system is able to conclude in parallel to the dynamic industrial processes. This paper presents the design a diagnostic approach which aims to increase the performance of the decision making in fault diagnosis. The proposed approach takes into account the knowledge form the reliability analysis and the model-based fault dynamic component behavior. The effectiveness and the performance of the technique are illustrated by a case study.