An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles

In this study, vibration based non-destructive testing (NDT) technique is adopted for assessing the condition of in-service timber pole. Timber is a natural material, and hence the captured broadband signal (induced from impact using modal hammer) is greatly affected by the uncertainty on wood prope...

Full description

Bibliographic Details
Main Authors: Ipshita Das, Mohammad Taufiqul Arif, Aman Maung Than Oo, Mahbube Subhani
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/7/2974
id doaj-369428ecbc544a80b8504bd261394f81
record_format Article
spelling doaj-369428ecbc544a80b8504bd261394f812021-03-27T00:03:27ZengMDPI AGApplied Sciences2076-34172021-03-01112974297410.3390/app11072974An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber PolesIpshita Das0Mohammad Taufiqul Arif1Aman Maung Than Oo2Mahbube Subhani3School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC 3216, AustraliaIn this study, vibration based non-destructive testing (NDT) technique is adopted for assessing the condition of in-service timber pole. Timber is a natural material, and hence the captured broadband signal (induced from impact using modal hammer) is greatly affected by the uncertainty on wood properties, structure, and environment. Therefore, advanced signal processing technique is essential in order to extract features associated with the health condition of timber poles. In this study, Hilbert–Huang Transform (HHT) and Wavelet Packet Transform (WPT) are implemented to conduct time-frequency analysis on the acquired signal related to three in-service poles and three unserviceable poles. Firstly, mother wavelet is selected for WPT using maximum energy to Shannon entropy ratio. Then, the raw signal is divided into different frequency bands using WPT, followed by reconstructing the signal using wavelet coefficients in the dominant frequency bands. The reconstructed signal is then further decomposed into mono-component signals by Empirical Mode Decomposition (EMD), known as Intrinsic Mode Function (IMF). Dominant IMFs are selected using correlation coefficient method and instantaneous frequencies of those dominant IMFs are generated using HHT. Finally, the anomalies in the instantaneous frequency plots are efficiently utilised to determine vital features related to pole condition. The results of the study showed that HHT with WPT as pre-processor has a great potential for the condition assessment of utility timber poles.https://www.mdpi.com/2076-3417/11/7/2974non-destructive testingtimber utility polesvibration based damage detectionwavelet packet transformempirical mode decompositionHilbert–Huang transform
collection DOAJ
language English
format Article
sources DOAJ
author Ipshita Das
Mohammad Taufiqul Arif
Aman Maung Than Oo
Mahbube Subhani
spellingShingle Ipshita Das
Mohammad Taufiqul Arif
Aman Maung Than Oo
Mahbube Subhani
An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
Applied Sciences
non-destructive testing
timber utility poles
vibration based damage detection
wavelet packet transform
empirical mode decomposition
Hilbert–Huang transform
author_facet Ipshita Das
Mohammad Taufiqul Arif
Aman Maung Than Oo
Mahbube Subhani
author_sort Ipshita Das
title An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
title_short An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
title_full An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
title_fullStr An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
title_full_unstemmed An Improved Hilbert–Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles
title_sort improved hilbert–huang transform for vibration-based damage detection of utility timber poles
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-03-01
description In this study, vibration based non-destructive testing (NDT) technique is adopted for assessing the condition of in-service timber pole. Timber is a natural material, and hence the captured broadband signal (induced from impact using modal hammer) is greatly affected by the uncertainty on wood properties, structure, and environment. Therefore, advanced signal processing technique is essential in order to extract features associated with the health condition of timber poles. In this study, Hilbert–Huang Transform (HHT) and Wavelet Packet Transform (WPT) are implemented to conduct time-frequency analysis on the acquired signal related to three in-service poles and three unserviceable poles. Firstly, mother wavelet is selected for WPT using maximum energy to Shannon entropy ratio. Then, the raw signal is divided into different frequency bands using WPT, followed by reconstructing the signal using wavelet coefficients in the dominant frequency bands. The reconstructed signal is then further decomposed into mono-component signals by Empirical Mode Decomposition (EMD), known as Intrinsic Mode Function (IMF). Dominant IMFs are selected using correlation coefficient method and instantaneous frequencies of those dominant IMFs are generated using HHT. Finally, the anomalies in the instantaneous frequency plots are efficiently utilised to determine vital features related to pole condition. The results of the study showed that HHT with WPT as pre-processor has a great potential for the condition assessment of utility timber poles.
topic non-destructive testing
timber utility poles
vibration based damage detection
wavelet packet transform
empirical mode decomposition
Hilbert–Huang transform
url https://www.mdpi.com/2076-3417/11/7/2974
work_keys_str_mv AT ipshitadas animprovedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT mohammadtaufiqularif animprovedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT amanmaungthanoo animprovedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT mahbubesubhani animprovedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT ipshitadas improvedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT mohammadtaufiqularif improvedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT amanmaungthanoo improvedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
AT mahbubesubhani improvedhilberthuangtransformforvibrationbaseddamagedetectionofutilitytimberpoles
_version_ 1724201580880723968