Abstract
This paper presents a novel time domain approach for Structural Health Monitoring (SHM) systems based on Electromechanical Impedance (EMI) principle and Principal Component Coefficients (PCC), also known as loadings. Differently of typical applications of EMI applied to SHM, which are based on computing the Frequency Response Function (FRF), in this work the procedure is based on the EMI principle but all analysis is conducted directly in time-domain. For this, the PCC are computed from the time response of PZT (Lead Zirconate Titanate) transducers bonded to the monitored structure, which act as actuator and sensor at the same time. The procedure is carried out exciting the PZT transducers using a wide band chirp signal and getting their time responses. The PCC are obtained in both healthy and damaged conditions and used to compute statistics indexes. Tests were carried out on an aircraft aluminum plate and the results have demonstrated the effectiveness of the proposed method making it an excellent approach for SHM applications. Finally, the results using EMI signals in both frequency and time responses are obtained and compared.
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References
Worden K, Dulileu-Barton JM (2004) Overview of intelligent fault detection in system and structures. Struct Health Monit 3:85–98
Lopes VL Jr, Park G, Cudney HH, Inman DJ (2000) Impedance-based structural healthy with artificial neural networks. J Intell Mater Syst Struct 11:206–214
Boller C, Staszewski WJ (2004) Health monitoring of aerospace structures: smart sensor technologies and signal processing, an introduction to damage prognosis. In: Staszewski WJ, Boller C, Tomlinson G (eds) Aircraft structural health and usage monitoring. John Wiley & Sons, Hoboken, 2:29–73
Park G, Sonh H, Farrar C, Inman DJ (2003) Overview of piezoelectric impedance-based health monitoring and path forward. Shock Vib Dig 35:451–463
Park G, Inman DJ (2007) Structural health monitoring using piezoelectric impedance measurements. Philos Trans R Soc 365:373–392
Boller C (2001) Ways and options for aircraft structural health management. Smart Mater Struct 10:432–439
Park S, Lee JJ, Yun CB, Inman DJ (2008) Electro-mechanical impedance-based wireless structural health monitoring using PCA-data compression and k-means clustering algorithms. J Intell Mater Syst Struct, Lancaster, 19(4):509–520
Yan A-M, Kerschen G, Boe PD, Golinval J-C (2007) Structural damage diagnosis under varying environmental conditions – part I: a linear analysis. Mech Syst Signal Process 19:847–864
Manson G (2002) Identifying damage sensitive, environment insensitive features for damage detection. In: Proceedings of the third international conference on identification in engineering systems, Swansea, 15–17 Apr 2002
Mujica LE, Vehi J, Ruiz M, Verleysen M, Staszewski W, Worden K (2008) Multivariate statistics process control for dimensionality reduction in structural assessment. Mech Syst Signal Process 22:155–171
Silva S, Junior MD, Lopes VL Jr, Brennan MJ (2008) Structural damage detection by fuzzy clustering. Mech Syst Signal Process 22(7):1636–1649
Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer, New York
Rencher AC (2002) Methods of multivariate analysis, 2nd edn. Wiley, New York
Liang C, Sun FP, Rogers CA (1994) Coupled electromechanical analysis of adaptive material systems – determination of the actuator power consumption and system energy transfer. J Intell Mater Syst Struct 5:12–20
Vieira Filho J, Baptista FG, Inman DJ (2011) Time-domain analysis of piezoelectric impedance-based structural health monitoring using multilevel wavelet decomposition. Mech Syst Signal Process 25:1550–1558
Vieira Filho J, Baptista FG, Farmer J, Inman DJ (2011) Time-domain electromechanical impedance for structural health monitoring. In: 8th International conference on structural dynamics (Eurodyn 2011), Leuven, Belgium
Baptista FG, Vieira Filho J (2010) A new impedance measurement system for PZT-based structural health monitoring. IEEE Trans Instrum Meas 58:3602–3808
Acknowledgements
The authors would like to thank Capes Foundation, Ministry of Education of Brazil (DINTER 23038.034330/2008-32), FAPESP (grant 2011/20354-6), CNPq and FAPEMIG (through the INCT-EIE).
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© 2014 The Society for Experimental Mechanics
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de Oliveira, M.A., Filho, J.V., Jr., V.L., Inman, D.J. (2014). Damage Detection Based on Electromechanical Impedance Principle and Principal Components. In: Allemang, R., De Clerck, J., Niezrecki, C., Wicks, A. (eds) Topics in Modal Analysis, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6585-0_28
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DOI: https://doi.org/10.1007/978-1-4614-6585-0_28
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