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Hittade 3 uppsatser som matchar ovanstående sökkriterier.
1. Application of Lamb waves using piezoelectric technique for structure health monitoring
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Structural health monitoring (SHM) is damage detection strategy for aerospace, civiland mechanical infrastructure. This project tries to show that Lamb waves, that are being generated and sensed with piezoelectric transducers, can be used for damage detection in a SHM system. LÄS MER
2. Analysis of design requirements for early failure detection in a gear test rig
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Gears are the heart of many machines, being its function transform and transmit torque. This work is a study of adequate design requirements, in particular, the best methodology to early detect gear fatigue failure using a gear test rig, an FZG test machine. LÄS MER
3. Quantifying uncertainty in structural condition with Bayesian deep learning : A study on the Z-24 bridge benchmark
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A machine learning approach to damage detection is presented for a bridge structural health monitoring system, validated on the renowned Z-24 bridge benchmark dataset where a sensor instrumented, threespan bridge was realistically damaged in stages. A Bayesian autoencoder neural network is trained to reconstruct raw sensor data sequences, with uncertainty bounds in prediction. LÄS MER