Jacob Hendriks
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View article: Structured Data Ontology for AI in Industrial Asset Condition Monitoring
Structured Data Ontology for AI in Industrial Asset Condition Monitoring Open
This paper proposes an ontology for prognostics and health management (PHM) applications involving sensor networks monitoring industrial machinery. Deep learning methods show promise for the development of autonomous PHM systems but requir…
View article: Vibrations-Based Machine Fault Diagnosis and Prognosis Using Convolutional Neural Networks
Vibrations-Based Machine Fault Diagnosis and Prognosis Using Convolutional Neural Networks Open
This thesis addresses vibration-based machine health monitoring (MHM) by applying the fundamentals of machine learning (ML), convolutional neural networks (CNNs) and selected signal processing. The thesis first presents an exploration of t…
View article: Exploring the Relationship between Preprocessing and Hyperparameter Tuning for Vibration-Based Machine Fault Diagnosis Using CNNs
Exploring the Relationship between Preprocessing and Hyperparameter Tuning for Vibration-Based Machine Fault Diagnosis Using CNNs Open
This paper demonstrates the differences between popular transformation-based input representations for vibration-based machine fault diagnosis. This paper highlights the dependency of different input representations on hyperparameter selec…