Contents Abstract vii Samenvatting xi Acknowledgements xv 1 Introduction 1 1.1 Research context and motivation . . . . . . . . . . . . . . . . . . . 1 1.2 Mainconcepts ............................. 2 1.2.1 Prognostics and Health Management . . . . . . . . . . . . . 2 1.2.2 ReliabilityModelling. . . . . . . . . . . . . . . . . . . . . . 4 1.2.3 Markov Process-based Prognostics . . . . . . . . . . . . . . 8 1.2.4 Maintenance Optimisation . . . . . . . . . . . . . . . . . . . 12 1.3 Researchgaps.............................. 16 1.4 Researchquestions ........................... 19 1.5 Researchmethodology ......................... 20 1.6 Thesisoutline.............................. 21 1.7 Maincontributions........................... 21 1.8 Listofpublications........................... 24 1.9 References................................ 25 Part I: Data-driven Inference of Fault Tree models 33 I.1 Introduction............................... 33 I.2 Nomenclature .............................. 34 I.3 Relatedwork .............................. 34 I.4 Preliminaries .............................. 36 I.4.1 FaultTrees............................ 36 I.4.2 Failuredataset ......................... 37 I.4.3 Inference of Fault Tree models . . . . . . . . . . . . . . . . . 37 I.5 References................................ 38 2 Automatic Inference of Fault Tree Models via Multi-Objective Evolutionary Algorithms 41 Abstract................................. 41
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