A Data Mining Approach for Prognostics and Health Monitoring Using Age Based Clustering: A Case Study on a Gas Turbine Compressor, Ph.D. Dissertation Sharif University of Technology ; Durali, Mohammad (Supervisor) ; Saadat, Mahmoud (Supervisor)
Abstract
In recent years health monitoring and prognostics of complex systems have been considered more than ever.. In the present researh, data - based approach has been selected among various prognostics and health monitoring approaches. One of the most challenging issues in data-based methods is how to map system sensor information to its health status. In this research, different methods of mapping are discussed. The results show that sensor fusion by principal component analysis (PCA) offers acceptable performance. This pattern produces a single-dimensional signal for health monitoring with high reliability.The second challenge is to predict the status and design of the prognostics module. For...
Cataloging briefA Data Mining Approach for Prognostics and Health Monitoring Using Age Based Clustering: A Case Study on a Gas Turbine Compressor, Ph.D. Dissertation Sharif University of Technology ; Durali, Mohammad (Supervisor) ; Saadat, Mahmoud (Supervisor)
Abstract
In recent years health monitoring and prognostics of complex systems have been considered more than ever.. In the present researh, data - based approach has been selected among various prognostics and health monitoring approaches. One of the most challenging issues in data-based methods is how to map system sensor information to its health status. In this research, different methods of mapping are discussed. The results show that sensor fusion by principal component analysis (PCA) offers acceptable performance. This pattern produces a single-dimensional signal for health monitoring with high reliability.The second challenge is to predict the status and design of the prognostics module. For...
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