A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations

Callum Roberts*, David Garcia, Dmitri Tcherniak

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vibration-based structural health monitoring (VSHM) methodologies provide a robust, data-driven, system for damage diagnosis. However, there are a few challenges that are currently being investigated to ensure the systems are more reliable for decision-making. The features selected from the vibration responses are not only sensitive to damage but also to environmental and operational variations (EOV). This paper aims to investigate the use of a principal component analysis (PCA) based system for VSHM. In particular, the aim is to compare different approaches, using the same dataset, to explore the effect that data manipulation has on the damage detection capabilities of such a system when it is corrupted by EOV. The data that was used for this study was first taken from a simulated five degree of freedom spring-mass-damper system and secondly from an in-operation Vestas V27 wind turbine with damaged and undamaged scenarios. The simulated system was subjected to varying temperatures and involved four states; one healthy state followed by three states with increasing damage, represented by the reduction of a spring stiffness. Each combination of data manipulation was compared to determine their performance and limitations on removing EOV for reliable damage diagnosis.

Original languageEnglish
Title of host publicationIntelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019
EditorsZamberi Jamaludin, Mohd Najib Ali Mokhtar, Magd Abdel Wahab
PublisherPleiades Publishing
Pages182-198
Number of pages17
ISBN (Print)9789811383304, 9789811395383
DOIs
Publication statusPublished - 5 Jul 2019
Event13th International Conference on Damage Assessment of Structures, DAMAS 2019 - Porto, Portugal
Duration: 9 Jul 201910 Jul 2019

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference13th International Conference on Damage Assessment of Structures, DAMAS 2019
CountryPortugal
CityPorto
Period9/07/1910/07/19

Keywords

  • Correlation factors
  • Damage diagnosis
  • Environmental and operational variations
  • Principal component analysis
  • Wind turbine

Fingerprint

Dive into the research topics of 'A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations'. Together they form a unique fingerprint.

Cite this