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Development and performance evaluation of prognostic approaches for technical systems / von M.Sc. James Kuria Kimotho aus Nairobi, Kenia. Referent: Prof. Dr.-Ing. habil. Walter Sextro, Korreferant: Prof. Dr.-Ing. Detmar Zimmer. Paderborn, 2016
Inhalt
Nomenclature
Abbreviations and Acronyms
Introduction
Problem Statement
Objectives
Thesis Outline
Literature Review
Diagnostic Methods
Prognostic Methods
Performance Evaluation
Conclusion
Data Preprocessing and Feature Extraction
Condition Monitoring Data
Data Preprocessing
Feature Extraction
Feature Selection
Development and Evaluation of Prognostic Approaches
Health State Estimation
Mapping Extracted Features to Remaining Useful Lifetime
Mapping Extracted Features to a Health Index
Propagating Health Index to a Threshold
Model Based Approach for Systems that Undergo Wear
Ensemble of Methods
Prognostic Method Selection
Prognostics of Piezoelectric Transducers
Experimental Set-up
Identification of Health Indices
Prognostics Approach
Conclusion and Future Work
Conclusion
Future Work
References
Derivation of the Support Vector Machines (SVM) Margin
SVM Parameter Optimization Techniques
Differential Evolution
Particle Swarm Optimization
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