Relevant bibliographies by topics / Signal processing; Spalling damage

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Signal processing; Spalling damage'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Signal processing; Spalling damage"

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Jia, Shengxiang, and Ian Howard. "Comparison of localised spalling and crack damage from dynamic modelling of spur gear vibrations." Mechanical Systems and Signal Processing 20, no. 2 (2006): 332–49. http://dx.doi.org/10.1016/j.ymssp.2005.02.009.

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Shi, Luojie, Juan Wen, Baisong Pan, Yongyong Xiang, Qi Zhang, and Congkai Lin. "Dynamic Characteristics of a Gear System with Double-Teeth Spalling Fault and Its Fault Feature Analysis." Applied Sciences 10, no. 20 (2020): 7058. http://dx.doi.org/10.3390/app10207058.

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Tooth spalling is one of the most destructive surface failure models of the gear faults. Previous studies have mainly concentrated on the spalling damage of a single gear tooth, but the spalling distributed over double teeth, which usually occurs in practical engineering problems, is rarely reported. To remedy this deficiency, this paper constructs a new dynamical model of a gear system with double-teeth spalling fault and validates this model with various experimental tests. The dynamic characteristics of gear systems are obtained by considering the excitations induced by the number of spalli
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Merzoug, Mustapha, Khalid Ait-Sghir, Abdelhamid Miloudi, and Paul Jean Dron. "Early Diagnosis of Spalling in the Gear Teeth." Advanced Materials Research 1016 (August 2014): 249–55. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.249.

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The monitoring and vibratory analysis of gear transmission allow the prediction of a possible malfunction and breakdowns. As the gear transmission product non-stationary signals its treatment is too difficult with the usual tools of signal processing witch can product errors in its interpretation. As the characteristics of gear frequencies are predetermined, it is proposed to monitor (fault identification) using wavelet analysis. To simulate the signal to be analyzed, we intentionally introduced a spalling defect. We chose the Daubechies wavelet type which are the most used in diagnostic. The
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Reddy, Mallikarjuna D., and Seetharaman Swarnamani. "Structural damage identification using signal processing method." International Journal of Advanced Structural Engineering 5, no. 1 (2013): 6. http://dx.doi.org/10.1186/2008-6695-5-6.

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Bhargav Sai, Cherukuri, and D. Mallikarjuna Reddy. "Dynamic Analysis of Faulty Rotors through Signal Processing." Applied Mechanics and Materials 852 (September 2016): 602–6. http://dx.doi.org/10.4028/www.scientific.net/amm.852.602.

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In this study, an effective method based on wavelet transform, for identification of damage on rotating shafts is proposed. The nodal displacement data of damaged rotor is processed to obtain wavelet coefficients to detect, localise and quantify damage severity. Because the wavelet coefficients are calculated with various scaled indices, local disturbances in the mode shape data can be found out in the finer scales that are positioned at local disturbances. In the present work the displacement data are extracted from the MATLAB model at a particular speed. Damage is represented as reduction in
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Staszewski, W. J. "Intelligent signal processing for damage detection in composite materials." Composites Science and Technology 62, no. 7-8 (2002): 941–50. http://dx.doi.org/10.1016/s0266-3538(02)00008-8.

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Bochud, N., A. A. Fahim, Á. M. Gómez, and G. Rus. "Impact Damage Characterization in Composites Using Signal Processing Techniques." Procedia Engineering 14 (2011): 169–76. http://dx.doi.org/10.1016/j.proeng.2011.07.020.

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Bediaga, Inigo, Xabier Mendizabal, Aitor Arnaiz, and Jokin Munoa. "Ball bearing damage detection using traditional signal processing algorithms." IEEE Instrumentation & Measurement Magazine 16, no. 2 (2013): 20–25. http://dx.doi.org/10.1109/mim.2013.6495676.

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Tian, Ying, Cheng-gang He, Jie Zhang, Qi-yue Liu, and Wen-jian Wang. "Experimental study on the vibration characteristic responses on the surface damage of wheel materials." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 232, no. 9 (2017): 1160–68. http://dx.doi.org/10.1177/1350650117730491.

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The objective of the study was to explore the vibration signal responses on the surface damage of wheel materials using a JD-1 wheel–rail simulation facility. Vibration signals were extracted using the methods of local mean decomposition and Hilbert envelope spectrum. The surface damage of wheel rollers varies with different tangential forces. The results indicate that the surface damage of wheel materials has a corresponding characteristic frequency under different tangential forces conditions. When surface cracks appear on the surface of wheel rollers, the characteristic frequency of wheel r
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El youbi, F., S. Grondel, and J. Assaad. "Signal processing for damage detection using two different array transducers." Ultrasonics 42, no. 1-9 (2004): 803–6. http://dx.doi.org/10.1016/j.ultras.2004.01.070.

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Dissertations / Theses on the topic "Signal processing; Spalling damage"

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Wang, Xiaofeng. "Simulation models for rolling bearing vibration generation and fault detection via neural networks." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362159.

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Firouzi, Fereshteh. "Sensor Placement for Damage Localization in Sensor Networks." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6019.

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The objective of this thesis is to formulate and solve the sensor placement problem for damage localization in a sensor network. A Bayesian estimation problem is formulated with the time-of-flight (ToF) measurements. In this model, ToF of lamb waves, which are generated and received by piezoelectric sensors, is the total time for each wave to be transmitted, reflected by the target, and received by the sensor. The ToF of the scattered lamb wave has characteristic information about the target location. By using the measurement model and prior information, the target location is estimated in a c
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Gong, Peng. "Ultrasonic Signal Processing for Structural Damage Detection and Quantification." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/674.

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The operation of our society depends heavily on infrastructure systems. To prevent failures and to reduce costs of maintenance, structural health monitoring (SHM) systems have been implemented on an increasing number of infrastructure systems. SHM systems have the potential to give reliable prediction of structural deterioration with less human safety risk and labor costs, and without interruption of normal operations. In the field of SHM, many techniques have been proposed in recent decades. Among these techniques, ultrasonic testing has been widely used for damage characterization in structu
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Kim, Daewon. "Phased Array Damage Detection and Damage Classification in Guided Wave Structural Health Monitoring." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77073.

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Although nondestructive evaluation techniques have been implemented in many industry fields and proved to be useful, they are generally expensive, time consuming, and the results may not always be reliable. To overcome these drawbacks, structural health monitoring (SHM) systems has received significant attention in the past two decades. As structural systems are becoming more complicated and new materials are being developed, new methodologies, theories, and approaches in SHM have been developed for damage detection, diagnosis, and prognosis. Among the methods developed, the guided Lamb wave b
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Zonzini, Federica. "Tecniche di signal processing per l'analisi modale in applicazioni SHM." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16240/.

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L'obiettivo della disciplina nota con l'acronimo SHM (Structural Health Monitoring) è quello di incrementare la sicurezza di infrastrutture critiche, monitorandone in tempo reale l'integrità attraverso l'implementazione di sistemi sensoriali embedded. In questo contesto il presente lavoro di tesi riguarda, in particolare, lo sviluppo di due reti di sensori accelerometrici microelettromeccanici per l'analisi della dinamica di strutture attraverso l'estrazione di parametri modali, quali frequenze naturali di vibrazione e forme modali. Tecniche di signal processing sono state sviluppate per calco
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Mueller, Thorsten Oliver. "Nonlinear Ultrasonics: Signal Processing Considerations and a Nonlinear Parameter for Rayleigh Waves." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-09282005-114142/.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2006.<br>Kim, Jin-Yeon, Committee Member ; Qu, Jianmin, Committee Member ; Jacobs, Laurence, Committee Chair. Includes bibliographical references.
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Jha, Raju. "Structural Damage Detection Using Instantaneous Frequency and Stiffness Degradation Method." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2816.

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Research in damage detection and structural health monitoring in engineering systems during their service life has received increasing attention because of its importance and benefits in maintenance and rehabilitation of structure. Though the concept of vibration-based damage detection has been in existence for decades, and several procedures have been proposed to date, its practical applications remain limited, considering the increased utilization of sensors to measure structural response at multiple points. In this thesis, use of acceleration response of the structure as a method of global
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Tashakori, Shervin. "Novel Structural Health Monitoring and Damage Detection Approaches for Composite and Metallic Structures." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3753.

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Mechanical durability of the structures should be continuously monitored during their operation. Structural health monitoring (SHM) techniques are typically used for gathering the information which can be used for evaluating the current condition of a structure regarding the existence, location, and severity of the damage. Damage can occur in a structure after long-term operating under service loads or due to incidents. By detection of these defects at the early stages of their growth and nucleation, it would be possible to not only improve the safety of the structure but also reduce the opera
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Whitney, G. Adam. "Characterization of the Frictional-Shear Damage Properties of Scaffold-Free Engineered Cartilage and Reduction of Damage Susceptibility by Upregulation of Collagen Content." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1417470427.

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Nohál, Libor. "Korelace změny signálu AE s rozvojem kontaktního poškození." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-234263.

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This PhD thesis deals with the experimental study of more precise rolling contact fatigue damage detection using acoustic emission method. A series of experiments was carried out on two representatives bearing steels and the analysis of sensitivity for the presence of contact damage was performed on selected parameters of acoustic emission. The extent of damage was classified into four classes and signal parameters the most characterizing the development of damage were correlated with the extent of damage. It was also verified the influence of lubricants on acoustic emission signals. The resul
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Books on the topic "Signal processing; Spalling damage"

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Fowler, Ian M., Robert J. Hackworth, and Erik P. Voogd. Neuropathic Pain. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190217518.003.0024.

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Neuropathic pain encompasses a vast number of clinical conditions that share the common characteristic of pain resulting from nerve injury or damage. Upon injury, pathophysiologic changes in the peripheral nervous system occur, including hyperexcitability and the spontaneous generation of impulses (ectopia). As a result of these peripheral changes, alterations in signal processing and intrinsic changes within the central nervous system occur. All of these changes contribute to the generation of neuropathic pain. This chapter attempts to capture the essence of the objectives and goals set forth
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Schaible, Hans-Georg, and Rainer H. Straub. Pain neurophysiology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0059.

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Physiological pain is evoked by intense (noxious) stimuli acting on healthy tissue functioning as a warning signal to avoid damage of the tissue. In contrast, pathophysiological pain is present in the course of disease, and it is often elicited by low-intensity stimulation or occurs even as resting pain. Causes of pathophysiological pain are either inflammation or injury causing pathophysiological nociceptive pain or damage to nerve cells evoking neuropathic pain. The major peripheral neuronal mechanism of pathophysiological nociceptive pain is the sensitization of peripheral nociceptors for m
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Book chapters on the topic "Signal processing; Spalling damage"

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Rucka, Magdalena, and Krzysztof Wilde. "Guided Waves in Steel Rails – Experimental Works and Wavelet Signal Processing." In Damage Assessment of Structures VII. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-444-8.115.

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Jiang, Xiaomo, and Sankaran Mahadevan. "Intelligent Computational Approaches to Signal Processing and Damage Detection." In Springer Environmental Science and Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5182-8_3.

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Gomathi, M., M. Geetha Priya, C. Chandre Gowda, and D. Krishnaveni. "Flood Damage Assessment Using H-A-Alpha Dual Polarimetric Decomposition for Godavari Flood-2019." In Advances in Automation, Signal Processing, Instrumentation, and Control. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_113.

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Kavitha, S., K. Sumangala, R. Joseph Daniel, and S. Rajakumar. "Advanced Signal Processing Techniques for Damage Detection in Reinforced Concrete Beams." In Lecture Notes in Civil Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9162-4_8.

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Wang, Shu-Ching, Kuo-Qin Yan, and Wei-Shu Xiong. "New Anatomy of Consensus in a Multiple Damage Communication VANET." In Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03745-1_36.

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Stanullo, J., G. Busse, S. Bojinski, N. Gold, and S. Shapiro. "Ultrasonic Analysis of Damage Development in Polymer Composites by Signal Processing Techniques." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5339-7_93.

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Brettschneider, Jonas, Peter Kraemer, Pawel Kudela, and Jochen Moll. "Damage Detection with Ultrasonic Guided Waves Based on Broadband Random Excitation and Stochastic Signal Processing." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64594-6_76.

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Ng, C. "Evaluation of signal processing schemes in guided wave damage identification." In Life-Cycle of Civil Engineering Systems. CRC Press, 2014. http://dx.doi.org/10.1201/b17618-153.

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GIGUÉRE, CHRISTIAN, and GUIDO F. SMOORENBURG. "COMPUTATIONAL MODELING OF OUTER HAIR CELL DAMAGE: IMPLICATIONS FOR HEARING AID SIGNAL PROCESSING." In Psychophysics, Physiology and Models of Hearing. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812818140_0029.

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Gharibnezhad, Fahit, Luis Eduardo Mujica Delgado, and Jose Rodellar. "New Features for Damage Detection and Their Temperature Stability." In Virtual and Mobile Healthcare. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9863-3.ch033.

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This chapter is devoted to present novel techniques in Structural Health Monitoring (SHM). These techniques are based on different statistical and signal processing methods that are used in other fields but their performance and capability in SHM is presented and tested for the first time in this work. This work is dedicated to the first level of SHM, which might be considered the main and most important level. Piezoceramic (PZT) devices are chosen in this work to capture the signals due to their special characteristics such as high performance, low energy consumption and reasonable price. Suggested techniques are tested on different laboratory and real scale test benchmarks. Moreover, this work considers the effect of environmental changes on performance of the presented techniques. This work shows that although those techniques have a significant result in normal conditions, their performance can be affected by any environmental discrepancy such as temperature change. As such, there is a vital need to consider their effect. In this work, temperature change is chosen, as it is one of the main environmental fluctuation factors.
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Conference papers on the topic "Signal processing; Spalling damage"

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Wiseman, Yair. "Fuselage Damage Locator System." In Signal Processing 2013. Science & Engineering Research Support soCiety, 2013. http://dx.doi.org/10.14257/astl.2013.37.01.

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Kim, Byung-Jin, Su-Hyun Han, Je-Dam Ryu, Ki-Cheol Yuk, Sin-Ho Tae, and Dong-Pyo Hong. "A basic study on structure damage assessment by quantitative damage detection." In ICMIT 2005: Information Systems and Signal Processing, edited by Yunlong Wei, Kil To Chong, Takayuki Takahashi, et al. SPIE, 2005. http://dx.doi.org/10.1117/12.664371.

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Robinson, Brian M., Woody English, Darrell Langford, et al. "Scanning LiDAR for airfield damage assessment." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, edited by Ivan Kadar. SPIE, 2018. http://dx.doi.org/10.1117/12.2305377.

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Gelman, Len, Ivan Petrunin, Michael Sanderson, and Chris Thompson. "Damage Detection Capabilities Based on New Signal Processing Approach." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1952.

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Asci, Guven, and M. Elif Karsligil. "Road Damage Detection via in Car Cameras." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302086.

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Santemiz, Pinar, Nese Alyuz, Derya Cavdar, and Fatih Alagoz. "Post-Earthquake Damage Assessment using Satellite Imagery." In 2007 IEEE International Conference on Signal Processing and Communications. IEEE, 2007. http://dx.doi.org/10.1109/icspc.2007.4728389.

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"Container Damage Detection and Classification Using Container Images." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302442.

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Ahanathapillai, V., J. J. Soraghan, D. J. Hamilton, and G. Morison. "Echocardiographical Sequence Analysis for the Diagnosis of Heart Wall Damage." In 2007 15th International Conference on Digital Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icdsp.2007.4288542.

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Amjad, Umar, Susheel Kumar Yadav, Cac Minh Dao, Kiet Dao, and Tribikram Kundu. "Advanced signal processing technique for damage detection in steel tubes." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Tribikram Kundu. SPIE, 2016. http://dx.doi.org/10.1117/12.2219417.

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Pedemonte, Pietro, Wieslaw J. Staszewski, Francesco Aymerich, Mike S. Found, and Pierluigi Priolo. "Signal processing for passive impact damage detection in composite structures." In SPIE's 8th Annual International Symposium on Smart Structures and Materials, edited by Vittal S. Rao. SPIE, 2001. http://dx.doi.org/10.1117/12.436470.

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Reports on the topic "Signal processing; Spalling damage"

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Kornegay, Kevin T. New Signal Processing Techniques to Interpret, Track and Predict Damage in Aircraft Materials and Structures. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada425214.

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Burnett, G. C. Damage Detection and Identification of Finite Element Models Using State-Space Based Signal Processing a Summation of Work Completed at the Lawrence Livermore National Laboratory February 1999 to April 2000. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/793960.

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