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

doi:10.1007/978-981-13-8331-1_13

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

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 language	English
Title of host publication	Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019
Editors	Zamberi Jamaludin, Mohd Najib Ali Mokhtar, Magd Abdel Wahab
Publisher	Pleiades Publishing
Pages	182-198
Number of pages	17
ISBN (Print)	9789811383304, 9789811395383
DOIs	https://doi.org/10.1007/978-981-13-8331-1_13
Publication status	Published - 5 Jul 2019
Event	13th International Conference on Damage Assessment of Structures, DAMAS 2019 - Porto, Portugal Duration: 9 Jul 2019 → 10 Jul 2019

Publication series

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

Conference

Conference	13th International Conference on Damage Assessment of Structures, DAMAS 2019
Country/Territory	Portugal
City	Porto
Period	9/07/19 → 10/07/19

Keywords / Materials (for Non-textual outputs)

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

Access to Document

10.1007/978-981-13-8331-1_13

Cite this

Roberts, C., Garcia, D., & Tcherniak, D. (2019). A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations. In Z. Jamaludin, M. N. Ali Mokhtar, & M. A. Wahab (Eds.), Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019 (pp. 182-198). (Lecture Notes in Mechanical Engineering). Pleiades Publishing. https://doi.org/10.1007/978-981-13-8331-1_13

Roberts, Callum ; Garcia, David ; Tcherniak, Dmitri. / A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations. Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019. editor / Zamberi Jamaludin ; Mohd Najib Ali Mokhtar ; Magd Abdel Wahab. Pleiades Publishing, 2019. pp. 182-198 (Lecture Notes in Mechanical Engineering).

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

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.",

keywords = "Correlation factors, Damage diagnosis, Environmental and operational variations, Principal component analysis, Wind turbine",

author = "Callum Roberts and David Garcia and Dmitri Tcherniak",

note = "Acceptance date set to exclude from REF OA Policy; 13th International Conference on Damage Assessment of Structures, DAMAS 2019 ; Conference date: 09-07-2019 Through 10-07-2019",

year = "2019",

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pages = "182--198",

editor = "Zamberi Jamaludin and {Ali Mokhtar}, {Mohd Najib} and Wahab, {Magd Abdel}",

booktitle = "Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019",

address = "Russian Federation",

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Roberts, C, Garcia, D & Tcherniak, D 2019, A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations. in Z Jamaludin, MN Ali Mokhtar & MA Wahab (eds), Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019. Lecture Notes in Mechanical Engineering, Pleiades Publishing, pp. 182-198, 13th International Conference on Damage Assessment of Structures, DAMAS 2019, Porto, Portugal, 9/07/19. https://doi.org/10.1007/978-981-13-8331-1_13

A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations. / Roberts, Callum; Garcia, David; Tcherniak, Dmitri.
Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019. ed. / Zamberi Jamaludin; Mohd Najib Ali Mokhtar; Magd Abdel Wahab. Pleiades Publishing, 2019. p. 182-198 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations

AU - Roberts, Callum

AU - Garcia, David

AU - Tcherniak, Dmitri

N1 - Acceptance date set to exclude from REF OA Policy

PY - 2019/7/5

Y1 - 2019/7/5

N2 - 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.

AB - 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.

KW - Correlation factors

KW - Damage diagnosis

KW - Environmental and operational variations

KW - Principal component analysis

KW - Wind turbine

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U2 - 10.1007/978-981-13-8331-1_13

DO - 10.1007/978-981-13-8331-1_13

M3 - Conference contribution

AN - SCOPUS:85069181505

SN - 9789811383304

SN - 9789811395383

T3 - Lecture Notes in Mechanical Engineering

SP - 182

EP - 198

BT - Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019

A2 - Jamaludin, Zamberi

A2 - Ali Mokhtar, Mohd Najib

A2 - Wahab, Magd Abdel

PB - Pleiades Publishing

T2 - 13th International Conference on Damage Assessment of Structures, DAMAS 2019

Y2 - 9 July 2019 through 10 July 2019

ER -

Roberts C, Garcia D, Tcherniak D. A Comparative Study on Data Manipulation in PCA-Based Structural Health Monitoring Systems for Removing Environmental and Operational Variations. In Jamaludin Z, Ali Mokhtar MN, Wahab MA, editors, Intelligent Manufacturing and Mechatronics - Proceedings of the 2nd Symposium on Intelligent Manufacturing and Mechatronics – SympoSIMM 2019. Pleiades Publishing. 2019. p. 182-198. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-13-8331-1_13

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

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