Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory

A Mathematical Theory of Evidence

Shafer, G. R. (1976) · Princeton University Press eBooks · doi:10.1515/9780691214696 · Cited by 9,092 · see citing works

Upper and Lower Probabilities Induced by a Multivalued Mapping

Dempster, A. P. (1967) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177698950 · Cited by 6,149 · see citing works

Advances in Large-Margin Classifiers

(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.001.0001 · Cited by 1,902 · see citing works

Improving support vector machine classifiers by modifying kernel functions

Амари, Ш.-И., & Wu, S. (1999) · Neural Networks · doi:10.1016/s0893-6080(99)00032-5 · Cited by 941 · see citing works

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

Gui, G., Pan, H. X., Lin, Z., Li, Y., & Yuan, Z. (2017) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-017-1518-5 · Cited by 263 · see citing works

Confidence-based active learning

Li, M., & Sethi, I. K. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.156 · Cited by 232 · see citing works

Frequency response function based damage identification using principal component analysis and pattern recognition technique

Bandara, R. P., Chan, T. H. T., & THAMBIRATNAM, D. P. (2014) · Engineering Structures · doi:10.1016/j.engstruct.2014.01.044 · Cited by 161 · see citing works

Hierarchical Leak Detection and Localization Method in Natural Gas Pipeline Monitoring Sensor Networks

Wan, J., Yu, Y., Wu, Y., Feng, R., & Yu, N. (2011) · Sensors · doi:10.3390/s120100189 · Cited by 122 · see citing works

In situ assessment of structural timber using stress-wave measurements

Dackermann, U., Crews, K. I., Kasal, B., Li, J., Riggio, M., Rinn, F., & Tannert, T. (2013) · Materials and Structures · doi:10.1617/s11527-013-0095-4 · Cited by 121 · see citing works

Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine

Tabrizi, A. A., Garibaldi, L., Fasana, A., & Marchesiello, S. (2014) · Meccanica · doi:10.1007/s11012-014-9968-z · Cited by 116 · see citing works

Assessing sensitivity of impact echo and ultrasonic surface waves methods for nondestructive evaluation of concrete structures

Azari, H., Nazarian, S., & Yuan, D. (2014) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2014.08.056 · Cited by 101 · see citing works

Detecting damage in steel beams using modal strain energy based damage index and Artificial Neural Network

Tan, Z. X., THAMBIRATNAM, D. P., Chan, T. H. T., & Razak, H. A. (2017) · Engineering Failure Analysis · doi:10.1016/j.engfailanal.2017.04.035 · Cited by 98 · see citing works

Damage detection of jacket type offshore platforms using rate of signal energy using wavelet packet transform

Asgarian, B., Aghaeidoost, V., & Shokrgozar, H. R. (2015) · Marine Structures · doi:10.1016/j.marstruc.2015.10.003 · Cited by 96 · see citing works

Detection of fatigue cracking in steel bridge girders: A support vector machine approach

Hasni, H., Alavi, A. H., Jiao, P., & Lajnef, N. (2017) · Archives of Civil and Mechanical Engineering · doi:10.1016/j.acme.2016.11.005 · Cited by 95 · see citing works

Structural damage detection using principal component analysis and damage indices

Burgos, D. A. T., Delgado, L. E. M., Rodellar, J., & Güemes, A. (2015) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x14566520 · Cited by 91 · see citing works

Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

Hakim, S. J. S., & Razak, H. A. (2013) · STRUCTURAL ENGINEERING AND MECHANICS · doi:10.12989/sem.2013.45.6.779 · Cited by 80 · see citing works

Damage Identification Scheme Based on Compressive Sensing

Wang, Y., & Hao, H. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000324 · Cited by 77 · see citing works

Feature Extraction for Defect Detection in Strands by Guided Ultrasonic Waves

Rizzo, P., & di Scalea, F. L. (2006) · Structural Health Monitoring · doi:10.1177/1475921706067742 · Cited by 71 · see citing works

Proceedings of the 26th Australasian Conference on the Mechanics of Structures and Materials

Chouw, N., & Zhang, C. (2024) · Lecture notes in civil engineering · doi:10.1007/978-981-97-3397-2 · Cited by 69 · see citing works

Health monitoring of joint conditions in steel truss bridges with relative displacement sensors

Li, J., & Hao, H. S. (2015) · Measurement · doi:10.1016/j.measurement.2015.12.009 · Cited by 64 · see citing works

Development of a cost-effective and flexible vibration DAQ system for long-term continuous structural health monitoring

Nguyễn, A., Chan, T. H. T., THAMBIRATNAM, D. P., & King, L. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.04.003 · Cited by 62 · see citing works

Damage detection of shear connectors under moving loads with relative displacement measurements

Li, J., & Hao, H. S. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.09.014 · Cited by 57 · see citing works

Impact detection and location for a plate structure using least squares support vector machines

Xu, Q. (2013) · Structural Health Monitoring · doi:10.1177/1475921713495083 · Cited by 56 · see citing works

Directional bending wave propagation in periodically perforated plates

Andreassen, E., Manktelow, K. L., & Ruzzene, M. (2014) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2014.09.035 · Cited by 56 · see citing works

Application of wavelet packet transform in subsea pipeline bedding condition assessment

Peng, X., Hao, H. S., & Li, Z. (2012) · Engineering Structures · doi:10.1016/j.engstruct.2012.01.017 · Cited by 48 · see citing works

Condition Assessment of Foundation Piles and Utility Poles Based on Guided Wave Propagation Using a Network of Tactile Transducers and Support Vector Machines

Dackermann, U., Yu, Y., Niederleithinger, E., Li, J., & Wiggenhauser, H. (2017) · Sensors · doi:10.3390/s17122938 · Cited by 33 · see citing works

State-of-the-Practice & Challenges in Non-Destructive Evaluation of Utility Poles in Service

Nguyen, M. N., Foliente, G., & Wang, X. (2004) · Key engineering materials · doi:10.4028/www.scientific.net/kem.270-273.1521 · Cited by 31 · see citing works

Damage detection methodology under variable load conditions based on strain field pattern recognition using FBGs, nonlinear principal component analysis, and clustering techniques

Sierra-Pérez, J., Torres-Arredondo, M.-A., & Alvarez-Montoya, J. (2017) · Smart Materials and Structures · doi:10.1088/1361-665x/aa9797 · Cited by 28 · see citing works

Use of the wavelet packet transform for pattern recognition in a structural health monitoring application

Facchini, G., Bernardini, L., Atek, S., & Gaudenzi, P. (2014) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x14544146 · Cited by 24 · see citing works

Vibration based structural health monitoring: Wavelet packet transform based solution

Sun, Z. J., & Chang, C.-C. G. (2006) · Structure and Infrastructure Engineering · doi:10.1080/15732470500473598 · Cited by 20 · see citing works

Incorporation of GPR data into genetic algorithms for assessing recycled pavements

Plati, C., Georgouli, K., Cliatt, B., & Loizos, A. (2017) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2017.06.109 · Cited by 20 · see citing works

Strength estimation of concrete masonry units using stress-wave methods

Sajid, S., Ali, S. M., Carino, N. J., Saeed, S., Sajid, H. U., & Chouinard, L. (2017) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2017.12.044 · Cited by 18 · see citing works

A comparative study of guided wave propagation in timber poles with isotropic and transversely isotropic material models

Subhani, M., Li, J., & Samali, B. (2013) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-012-0032-1 · Cited by 16 · see citing works

Nondestructive evaluation of timber: the new Brazilian code for the design of timber structures

Sales, A., Candian, M., & Cardin, V. D. S. (2009) · Materials and Structures · doi:10.1617/s11527-009-9482-2 · Cited by 11 · see citing works

Experimental verification of an orthotropic finite element model for numerical simulations of ultrasonic testing of wood poles

Tallavo, F. J., Cascante, G., & Pandey, M. D. (2016) · European Journal of Wood and Wood Products · doi:10.1007/s00107-016-1065-7 · Cited by 11 · see citing works

Experimental and Numerical Methods for Detection of Voids in Wood Poles Using Ultrasonic Testing

Tallavo, F. J., Pandey, M. D., & Cascante, G. (2013) · Journal of Materials in Civil Engineering · doi:10.1061/(asce)mt.1943-5533.0000535 · Cited by 6 · see citing works

Structural health assessment ofin situtimber: An interface between service life planning and timber engineering

Kasal, B. (2014) · Wood Material Science and Engineering · doi:10.1080/17480272.2014.903298 · Cited by 5 · see citing works

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Keshmiry, A., Hassani, S., Mousavi, M., & Dackermann, U. (2023) · Buildings · doi:10.3390/buildings13040918 · Cited by 96 · see citing works

Temperature Effect on Vibration Properties and Vibration-Based Damage Identification of Bridge Structures: A Literature Review

Luo, J., Huang, M., & Lei, Y. (2022) · Buildings · doi:10.3390/buildings12081209 · Cited by 90 · see citing works

E-Commerce Fraud Detection Model by Computer Artificial Intelligence Data Mining

Li, J. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/8783783 · Cited by 64 · see citing works

Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Umbrajkaar, A. M., Krishnamoorthy, A., & Dhumale, R. B. (2020) · Shock and Vibration · doi:10.1155/2020/1650270 · Cited by 61 · see citing works

Damage Identification of Bridge Structures Considering Temperature Variations-Based SVM and MFO

Huang, M., Lei, Y., Li, X., & Gu, J. (2020) · Journal of Aerospace Engineering · doi:10.1061/(asce)as.1943-5525.0001225 · Cited by 59 · see citing works

Robust principal component analysis and support vector machine for detection of microcracks with distributed optical fiber sensors

Song, Q., Yan, G., Tang, G., & Ansari, F. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107019 · Cited by 52 · see citing works

Wood hole-damage detection and classification via contact ultrasonic testing

Mousavi, M., & Gandomi, A. H. (2021) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2021.124999 · Cited by 48 · see citing works

Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion

Aria, A., Droguett, E. L., Azarm, S., & Modarres, M. (2019) · Structural Health Monitoring · doi:10.1177/1475921719890616 · Cited by 42 · see citing works

Damage detection of in service timber poles using Hilbert-Huang transform

Bandara, S., Rajeev, P., Gad, E., Sriskantharajah, B., & Flatley, I. (2019) · NDT & E International · doi:10.1016/j.ndteint.2019.102141 · Cited by 41 · see citing works

Structural Damage Identification Based on l1Regularization and Bare Bones Particle Swarm Optimization with Double Jump Strategy

Huang, M., Lei, Y., & Li, X. (2019) · Mathematical Problems in Engineering · doi:10.1155/2019/5954104 · Cited by 40 · see citing works

Structural damage identification using modified Hilbert–Huang transform and support vector machine

Diao, Y., Jia, D., Liu, G., Sun, Z., & Xu, J. (2021) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-021-00509-5 · Cited by 40 · see citing works

Data and Decision Level Fusion-Based Crack Detection for Compressor Blade Using Acoustic and Vibration Signal

Song, D., Ma, T., Li, Y., & Xu, F. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3173924 · Cited by 36 · see citing works

Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images

Cilli, R., Monaco, A., Amoroso, N., Tateo, A., Tangaro, S., & Bellotti, R. (2020) · Remote Sensing · doi:10.3390/rs12152355 · Cited by 34 · see citing works

Non-destructive evaluating the density and mechanical properties of ancient timber members based on machine learning approach

Xin, Z., Ke, D., Zhang, H., Yu, Y., & Liu, F. (2022) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2022.127855 · Cited by 34 · see citing works

Prediction of Mechanical Properties of Artificially Weathered Wood by Color Change and Machine Learning

Nasir, V., Fathi, H., Fallah, A., Kazemirad, S., Sassani, F., & Antov, P. (2021) · Materials · doi:10.3390/ma14216314 · Cited by 30 · see citing works

Data-driven identification of structural damage under unknown seismic excitations using the energy integrals of strain signals transformed from transmissibility functions

Liu, L., Zhang, X., & Ying Lei, A. (2022) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2022.117490 · Cited by 26 · see citing works

Damage identification of bolt connection in steel truss structures by using sound signals

Zhuo, D.-B., & Cao, H. (2021) · Structural Health Monitoring · doi:10.1177/14759217211004823 · Cited by 25 · see citing works

Detecting Debonding between Steel Beam and Reinforcing CFRP Plate Using Active Sensing with Removable PZT-Based Transducers

Jiang, J., Jiang, J., Deng, X., & Deng, Z. (2019) · Sensors · doi:10.3390/s20010041 · Cited by 24 · see citing works

Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments

Sun, Q., Wang, C., Guo, Y., Yuan, W., & Fu, R. (2020) · Sensors · doi:10.3390/s20164426 · Cited by 23 · see citing works

Timber damage identification using dynamic broad network and ultrasonic signals

Zhang, Y., Yuen, K., Mousavi, M., & Gandomi, A. H. (2022) · Engineering Structures · doi:10.1016/j.engstruct.2022.114418 · Cited by 22 · see citing works

Integration of ARIMA and LSTM Models for Remaining Useful Life Prediction of a Water Hydraulic High-Speed On/Off Valve

Nie, S., Liu, Q., Ji, H., Hong, R., & Nie, S. (2022) · Applied Sciences · doi:10.3390/app12168071 · Cited by 21 · see citing works

CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition

Yaghoubi, V., Cheng, L., Paepegem, W. V., & Kersemans, M. (2022) · Structural Health Monitoring · doi:10.1177/14759217211050012 · Cited by 19 · see citing works

Insulation Fault Diagnosis of Disconnecting Switches Based on Wavelet Packet Transform and PCA-IPSO-SVM of Electric Fields

Yi, T., Xie, Y., Zhang, H., & Kong, X. (2020) · IEEE Access · doi:10.1109/access.2020.3026932 · Cited by 18 · see citing works

Structural health assessment techniques for in-service timber poles

Bandara, S., Rajeev, P., & Gad, E. (2021) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2021.1951775 · Cited by 17 · see citing works

Structural Health Assessment of Timber Utility Poles Using Stress Wave Propagation and Artificial Neural Network Techniques

Bandara, S., Rajeev, P., Gad, E., Sriskantharajah, B., & Flatley, I. (2021) · Journal of Nondestructive Evaluation · doi:10.1007/s10921-021-00821-6 · Cited by 17 · see citing works

Health monitoring of timber poles using time–frequency analysis techniques and stress wave propagation

Bandara, S., Rajeev, P., Gad, E., Sriskantharajah, B., & Flatley, I. (2020) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-020-00440-1 · Cited by 16 · see citing works

On Transducers Localization in Damage Detection by Wave Propagation Method

Stawiarski, A., & Muc, A. (2019) · Sensors · doi:10.3390/s19081937 · Cited by 15 · see citing works

Condition assessment tool for timber utility poles using stress wave propagation technique

Sriskantharajah, B., Gad, E., Bandara, S., Rajeev, P., & Flatley, I. (2020) · Nondestructive Testing And Evaluation · doi:10.1080/10589759.2020.1728267 · Cited by 14 · see citing works

Internal damages detection for structural timber members using low-frequency anti-symmetric guided wave

Wu, J., Ng, C., & Fang, H. (2022) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2022.126355 · Cited by 13 · see citing works

Buffer Monitoring of Critical Chain Projects Based on Support Vector Machine Prediction

Zhang, J., & Han, Q. (2023) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-023-0033-0 · Cited by 12 · see citing works

Grouting Quality Evaluation in Post-Tensioning Tendon Ducts Using Wavelet Packet Transform and Bayes Classifier

Sun, X., Li, D., He, W.-Y., Wang, Z., & Ren, W. (2019) · Sensors · doi:10.3390/s19245372 · Cited by 10 · see citing works

Damage identification of a reduced-scale cable-stayed bridge based on domain adaptation transfer learning

Lu, N., Cui, J., Zeng, W., Xiao, X., & Luo, Y. (2025) · Measurement · doi:10.1016/j.measurement.2025.118674 · Cited by 9 · see citing works

Detection and tracking of safety helmet in factory environment

Sun, X., Xu, K., Wang, S., Wu, C., Weifeng, Z., & Wu, H. (2021) · Measurement Science and Technology · doi:10.1088/1361-6501/ac06ff · Cited by 9 · see citing works

Two-Step Approach to Processing Raw Strain Monitoring Data for Damage Detection of Structures under Operational Conditions

Ren, P. F., & Zhou, Z. (2021) · Sensors · doi:10.3390/s21206887 · Cited by 9 · see citing works

Special Issue: Real World Application of SHM in Australia

Nguyễn, A., Chan, T. H. T., & Zhu, X. (2019) · Structural Health Monitoring · doi:10.1177/1475921718823980 · Cited by 8 · see citing works

Research on bolt loosening recognition based on sound signal and GA-SVM–RFE

Hou, L.-Y., & Zhuo, D.-B. (2025) · Scientific Reports · doi:10.1038/s41598-025-08730-8 · Cited by 6 · see citing works

Damage Classification Approach for Concrete Structure Using Support Vector Machine Learning of Decomposed Electromechanical Admittance Signature via Discrete Wavelet Transform

Yang, J., Ai, D., & Zhang, D. (2025) · Buildings · doi:10.3390/buildings15152616 · Cited by 6 · see citing works

A Multi-Excitation Method of Damage Detection in Plate-Like Structure Based on Wavelet Packet Energy

Yu, Y., & Ma, W. (2022) · International Journal of Structural Stability and Dynamics · doi:10.1142/s0219455422500912 · Cited by 6 · see citing works

A Bearing Fault Diagnosis Method for Multi-Sensors Using Cloud Model and Dempster–Shafer Evidence Fusion

Li, L., Zhang, X., Wang, P., Chen, C., Ma, T., & Gao, S. (2025) · Applied Sciences · doi:10.3390/app152111302 · Cited by 5 · see citing works

Machine learning for defect condition rating of wall wooden columns in ancient buildings

Li, Y., Ouyang, W., Xin, Z., Zhang, H., Sun, S., Zhang, D., & Zhang, W. (2025) · Case Studies in Construction Materials · doi:10.1016/j.cscm.2025.e04458 · Cited by 5 · see citing works

Identification of Bolt Loosening Damage of Steel Truss Structure Based on MFCC-WPES and Optimized Random Forest

Jiang, Z., Zhu, Z., & Zhuo, D.-B. (2024) · Applied Sciences · doi:10.3390/app14156626 · Cited by 5 · see citing works

A novel wavelet energy feature for damage identification with a digital twin considering measurement uncertainties

Zhang, X., & Lu, Y. (2024) · Journal of Structural Integrity and Maintenance · doi:10.1080/24705314.2024.2440830 · Cited by 5 · see citing works

Monitoring the Structural Health of Glass Fibre-Reinforced Hybrid Laminates Using Novel Piezoceramic Film

Schmidt, R., Graf, A., Decker, R., Heinrich, M., Kräusel, V., Kroll, L., & Hardt, W. (2020) · Sensors · doi:10.3390/s20185428 · Cited by 5 · see citing works

Review of non-destructive testing for quality evaluation of in-service timber utility poles

Bahrami, N., Rajput, H., Changotra, R., Murray, G., & He, Q. S. (2025) · Structures · doi:10.1016/j.istruc.2025.109484 · Cited by 4 · see citing works

Optimizing the performance of machine learning algorithms for the condition assessment of utility timber poles

Das, I., Arif, M. T., Huda, S., Oo, A. M. T., Das, A., & Subhani, M. (2023) · Nondestructive Testing And Evaluation · doi:10.1080/10589759.2023.2274012 · Cited by 4 · see citing works

Elucidating the influence of minimum environmental temperature on freeze-thaw damage behavior of concrete: Wave propagation technology assisted non-destructive structural performance testing

Chen, S., Mao, Z., Tian, W., Xiao, H., Ma, M., Liu, M., & Zhang, C. (2025) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2025.142098 · Cited by 4 · see citing works

Composite Detection Method for Subsurface Defects in Gas Gathering Station Pipelines Using Eddy Current and Ultrasonic Techniques

Wang, J., Wang, N., Xv, J., Cao, Y., Cao, Y., & Huang, P. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10451274 · Cited by 2 · see citing works

Raw sensor data fusion using Johansen cointegration for condition assessment of concrete poles

Mousavi, M., Dackermann, U., Hassani, S., Subhani, M., & Gandomi, A. H. (2024) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2024.118909 · Cited by 2 · see citing works

Dynamic wear identification of elevator’s traction sheave based on multiple acoustic emission information fusion

Wang, H., Huang, M., Gao, X., Lu, S., Xie, F. H., Liu, L., & Zhang, X. (2021) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-021-02998-3 · Cited by 1 · see citing works

Utilizing wavelet packet decomposition to locate the damage of composite structures in strong-noise environment

Wang, M., Zhu, W., & Xiang, Y. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2785/1/012125 · Cited by 1 · see citing works

Vibration-Based Status Identification of Power Transmission Poles

Aoki, E., do Cabo, C. T., Mao, Z., Ding, Y., & Özharar, S. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.10.514 · Cited by 1 · see citing works

WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection

Tran, D. K., Nguyen, V. N., Wickstrøm, K., & Kampffmeyer, M. (2025) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2025.110900 · Cited by 2 · see citing works

Implementation of the Support Vector Machine (SVM) Algorithm in A Bridge Damage Detection and Location Search System Based on Wireless Sensor Network (WSN)

Rabbani, A. J., Setyorini, S., & Putra, S. A. (2025) · International Conference on Data Science and Its Applications (ICoDSA) · doi:10.1109/icodsa67155.2025.11157251

A novel damage evaluation method for timber utility poles based on wavelet packet transform and support vector machine

Yu, Y., Dackermann, U., & Li, J. (2015) · UTS ePRESS (University of Technology Sydney) · Cited by 1 · see citing works

Novel Hybrid Method Based on Advanced Signal Processing and Soft Computing Techniques for Condition Assessment of Timber Utility Poles

Yu, Y., Subhani, M., Dackermann, U., & Li, J. (2019) · Journal of Aerospace Engineering · doi:10.1061/(asce)as.1943-5525.0001019 · Cited by 20 · see citing works

Guided wave–based condition assessment of in situ timber utility poles using machine learning algorithms

Dackermann, U., Skinner, B. T., & Li, J. (2014) · Structural Health Monitoring · doi:10.1177/1475921714521269 · Cited by 41 · see citing works

A numerical investigation on the damage identification of timber utility poles based on wavelet packet energy

Yan, N., Li, J., Dackermann, U., & Samali, B. (2014) · UTS ePRESS (University of Technology Sydney) · Cited by 1 · see citing works

Guided-wave-based damage detection of timber poles using a hierarchical data fusion algorithm

Yu, Y., Dackermann, U., Li, J., & Yan, N. (2014) · UTS ePRESS (University of Technology Sydney) · Cited by 4 · see citing works