INCREASING EFFECTIVENESS OF MODEL-BASED FAULT DIAGNOSIS: A DYNAMIC DESIGN FOR DECISION MAKING
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): A. CHATZINIKOLAOU , C. ANGELI
Abstract: 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.
- Publication Date: 10-Dec-2017
- DOI: 10.15224/978-1-63248-138-2-18
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FRAME ERROR PROBABILITY ANALYSIS OF MOBILE UNDERWATER ACOUSTIC NETWORKS
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): ANDREJ STEFANOV
Abstract: The paper analyzes the frame error probability (FEP) of mobile underwater acoustic networks. The mobility model is direction persistent: the direction and the speed of the autonomous underwater vehicles (AUV's) are constant for the duration of the packet. The frame error probability is evaluated using frequency dependent path loss and Ricean fading for each AUV-to-AUV channel. The FEP performance is illustrated through numerical examples.
- Publication Date: 10-Dec-2017
- DOI: 10.15224/978-1-63248-138-2-14
- Views: 0
- Downloads: 0