Pages 311-311 Physical Model-Based Prognostics and Health Monitoring to Enable Predictive Maintenance (Tiedo Tinga, Richard Loendersloot).Pages 313-353 On Prognostic Algorithm Design and Fundamental Precision Limits in Long-Term Prediction (Marcos E. Kithulgoda, Russel Pears).Pages 97-129 Online Time Series Changes Detection Based on Neuro-Fuzzy Approach (Yevgeniy Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova).Pages 131-166 Early Fault Detection in Reciprocating Compressor Valves by Means of Vibration and pV Diagram Analysis (Kurt Pichler).Pages 167-205 A New Hilbert-Huang Transform Technique for Fault Detection in Rolling Element Bearings (Shazali Osman, Wilson Wang).Pages 207-230 Comparison of Genetic and Incremental Learning Methods for Neural Network-Based Electrical Machine Fault Detection (Daniel Leite).Pages 231-268 Evolving Fuzzy Model for Fault Detection and Fault Identification of Dynamic Processes (Goran Andonovski, Sašo Blažič, Igor Škrjanc).Pages 269-285 An Online RFID Localization in the Manufacturing Shopfloor (Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Huang Sheng).Pages 287-309 Front Matter. Pages 95-95 A Context-Sensitive Framework for Mining Concept Drifting Data Streams (Chamari I.

Pages i-xiii Prologue: Predictive Maintenance in Dynamic Systems (Edwin Lughofer, Moamar Sayed-Mouchaweh).Pages 1-23 Smart Devices in Production System Maintenance (Eike Permin, Florian Lindner, Kevin Kostyszyn, Dennis Grunert, Karl Lossie, Robert Schmitt et al.).Pages 25-51 On the Relevance of Preprocessing in Predictive Maintenance for Dynamic Systems (Carlos Cernuda).Pages 53-93 Front Matter.

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