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Meccanica

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17-02-2021

Damage detection through nonparametric models using Kautz filters

Authors: Samuel da Silva, Cristian Hansen

Published in: Meccanica | Issue 5/2021

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Abstract

The goal of this paper is to present an approach to detect structural changes by using nonparametric models. The impulse response functions (IRFs) of mechanical systems in healthy conditions are identified through the sum of convolution expanded on an orthonormal basis. The Kautz filters with multiple poles optimized are implemented as an efficient orthonormal basis to identify nonparametric reference models. Identifying the IRFs of a smart beam with PZTs actuators/sensors coupled is used to illustrate the necessary procedures. The damages are simulated as a loss of bolts, nuts, and washers attached near a PZT sensor. A statistical procedure of a hypothesis test is also used to confirm the smart beam’s structural state. The experimental results achieved show that it is possible to detect the structural changes with statistical confidence.

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Alves V, Cury A, Roitman N, Magluta C, Cremona C (2015) Novelty detection for SHM using raw acceleration measurements. Struct Control Health Monit 22(9):1193–1207. https://doi.org/10.1002/stc.1741CrossRef

Avci O, Abdeljaber O, Kiranyaz S, Hussein M, Gabbouj M, Inman DJ (2021) A review of vibration-based damage detection in civil structures: from traditional methods to machine learning and deep learning applications. Mech Syst Signal Process 147:107077. https://doi.org/10.1016/j.ymssp.2020.107077CrossRef

Baldelli DH, Mazzaro DH, Peña RSS (2001) Robust identification of lightly damped flexible structures by means of orthonormal bases. IEEE Trans Control Syst Technol 9(5):696–707CrossRef

da Silva S, Paixão J, Rébillat M, Mechbal N (2020) Extrapolation of AR models using cubic splines for damage progression evaluation in composite structures. J Intell Mater Syst Struct. https://doi.org/10.1177/1045389X20963171CrossRef

De Oliveira MA, Monteiro AV, Vieira Filho J (2018) A new structural health monitoring strategy based on PZT sensors and convolutional neural network. Sensors. https://doi.org/10.3390/s18092955CrossRef

Entezami A, Shariatmadar H, Mariani S (2020) Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection. Adv Eng Soft 150:102923. https://doi.org/10.1016/j.advengsoft.2020.102923CrossRef

Farrar CR, Lieven NA (2007) Damage prognosis: the future of structural health monitoring. Philos Trans R Soc 365:623–632CrossRef

Farrar CR, Worden K, Todd MD, Par G, Nichols J, Adams DE (2007) Nonlinear system identification for damage detection. Technical report, Los Alamos National Laboratory Report: LA-14353-MS

Fassois SD, Sakellariou JS (2007) Time-series methods for fault detection and identification in vibrating structures. Philos Trans R Soc 365:411–448MathSciNetCrossRef

10.

Fathi A, Esfandiari A, Fadavie M, Mojtahedi A (2020) Damage detection in an offshore platform using incomplete noisy FRF data by a novel Bayesian model updating method. Ocean Eng 217:108023. https://doi.org/10.1016/j.oceaneng.2020.108023CrossRef

11.

Filho JV, Baptista FG, Inman DJ (2011) Time-domain analysis of piezoelectric impedance-based structural health monitoring using a multilevel wavelet decomposition. Mech Syst Signal Process 25:1550–1558CrossRef

12.

Heuberger PSC, den Hof PMJV, Wahlberg B (2005) Modelling and identification with rational orthogonal basis functions. ISBN-10: 185233956X. Springer, BerlinCrossRef

13.

den Hof PMJV, Bokors PSC (1995) System identification with generalized orthonormal basis functions. Automatica 31(12):1821–1834MathSciNetCrossRef

14.

Kopsaftopoulos FP, Fassois SD (2011) Statistical time series methods for damage diagnosis in a scale aircraft skeleton structure-loosened bolts scenarios. In: Proceedings of the 9th international conference on damage assessment of structures (DAMAS). University of Oxford England. https://doi.org/10.1088/1742-6596/305/1/012056

15.

Ljung L (1978) System identification: theory for the user, 2nd edn. Prentice Hall PTR, Upper Saddle River, NJMATH

16.

Lynch JP (2004) Design of a wireless active sensing unit for localized structural health monitoring. J Struct Control Health Monit 12:405–423CrossRef

17.

Park G, Figueiredo EF, Farinholt KM, Farrar CR (2010) Time series analysis of piezoelectric active-sensing for SHM applications. In: Proceedings of 17th SPIE conference on smart structures and nondestructive evaluation, March 7-11, San Diego, CA, USA

18.

Scussel O, da Silva S (2016) Output-only identification of nonlinear systems via Volterra series. J Vib Acoust. https://doi.org/10.1115/1.4033458.041012CrossRef

19.

Scussel O, da Silva S (2017) The harmonic probing method for output-only nonlinear mechanical systems. J Braz Soc Mech Sci Eng 39(9):3329–3341. https://doi.org/10.1007/s40430-017-0723-yCrossRef

20.

da Silva S (2011) Non-parametric identification of mechanical systems by Kautz filter with multiple poles. Mech Syst Signal Process 25(4):1103–1111CrossRef

21.

da Silva S, Dias Junior M, Lopes Junior V (2009) Identification of mechanical systems through Kautz filter. J Vib Control 15:849–865MathSciNetCrossRef

22.

da Silva S, Dias Junior M, Lopes Junior V, Brennan MJ (2008) Structural damage detection by fuzzy clustering. Mech Syst Signal Process 22:1636–1649CrossRef

23.

Spanos NA, Sakellariou JS, Fassois SD (2020) Vibration-response-only statistical time series structural health monitoring methods: a comprehensive assessment via a scale jacket structure. Struct Health Monit 19(3):736–750. https://doi.org/10.1177/1475921719862487CrossRef

24.

Wahlberg B (1994) System identification using Kautz models. IEEE Trans Autom Control 39:1276–1282MathSciNetCrossRef

Title: Damage detection through nonparametric models using Kautz filters
Authors: Samuel da Silva
Cristian Hansen
Publication date: 17-02-2021
Publisher: Springer Netherlands
Published in: Meccanica / Issue 5/2021
Print ISSN: 0025-6455
Electronic ISSN: 1572-9648
DOI: https://doi.org/10.1007/s11012-021-01319-1

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