Andreas Klausen
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A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models
Case study: Employing Agile Tools in Teaching Product Development to Mechatronics Students
Product development and project-based learning in Mechatronics, in the context of digitization and sustainability
Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction
Sensitivity Analysis of Online Oil Quality Monitoring for Early Detection of Water Ingress in Marine Propulsion Systems
Fault diagnostics of wind turbine electric pitch systems using sensor fusion approach
Multiple Defect Size Estimation of Rolling Bearings using Autonomous Diagnosis and Vibrational Jerk
Novel Threshold Calculations for Remaining Useful Lifetime Estimation of Rolling Element Bearings
Autonomous Bearing Fault Diagnosis Method based on Envelope Spectrum
Mathematical modeling and numerical optimization of three vehicle crashes using a single-mass lumped parameter model
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