VIBRATION-BASED DAMAGE DETECTION: WITH FOCUS ON MITIGATING ENVIRONMENTAL AND OPERATIONAL VARIABILITIES THROUGH COINTEGRATION
Translated title
VIBRATION-BASED DAMAGE DETECTION
Author
Burgos Diaz, Juan Carlos
Term
4. term
Education
Publication year
2020
Submitted on
2020-06-10
Pages
56
Abstract
Formålet med vibrationsbaseret skadesdetektion er at afgøre, om en konstruktion er beskadiget, ud fra målte vibrationssignaler. I praksis påvirkes disse målinger af skiftende miljø- og driftsforhold, som kan skjule de små ændringer i signalerne, der opstår ved skade. At begrænse påvirkningen fra sådanne variationer er en hovedudfordring, når metoden skal bruges på konstruktioner i drift. Denne afhandling adresserer udfordringen ved at anvende kointegration – en statistisk tidsrække-metode, der finder stabile relationer i data og kan hjælpe med at filtrere fælles variationer fra. Anvendelsen af kointegration undersøges gennem numeriske og eksperimentelle studier.
Vibration-based structural damage detection aims to determine whether a structure is damaged by analyzing measured vibration signals. In practice, these measurements are affected by changing environmental and operational conditions, which can hide the subtle signal changes caused by damage. Reducing the influence of such variations is a key challenge when applying this approach to structures in service. This thesis addresses that challenge by applying cointegration—a statistical time-series method that identifies stable relationships in data and can help filter out shared variations. Its application is examined through numerical and experimental studies.
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