Relevant bibliographies by topics / Signal processing; Spalling damage

Contents

  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 (February 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 (October 11, 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 spalling teeth, and the relative position of two faulty teeth. Moreover, to ensure the accuracy of dynamic model verification results and reduce the difficulty of fault feature analysis, a novel parameter-adaptive variational mode decomposition (VMD) method based on the ant lion optimization (ALO) is proposed to eliminate the background noise from the experimental signal. First, the ALO is used for the self-selection of the decomposition number K and the penalty factor â of the VMD. Then, the raw signal is decomposed into a set of Intrinsic Mode Functions (IMFs) by applying the ALO-VMD, and the IMFs whose effective weight kurtosis (EWK) is greater than zero are selected as the reconstructed signal. Combined with envelope spectrum analysis, the de-nosing ability of the proposed method is compared with that of the method known as particle swarm optimization-based variational mode decomposition (PSO-VMD), the fixed-parameter VMD, the empirical mode decomposition (EMD), and the local mean decomposition (LMD), respectively. The results indicate that the proposed dynamic model and background elimination method can provide a theoretical basis for spalling defect diagnosis of gear systems.
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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 aim of this work is to try to control the various parameters related to the wavelet analysis for reliable and inexpensive detection, i.e., the order of the wavelet and level decomposition. The approach witch was previously used for bearings, consists on observing the kurtosis for several orders wavelet based on the default severity..
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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 diameter of the shaft. The difference vectors between damaged and undamaged shafts are used as input vectors for wavelet analysis. The measure of damage severity is estimated using a parameter formulated from the distribution of wavelet coefficients with respect to the scales. Diagnosis results for different damage cases such as single and multiple damages are presented.
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Staszewski, W. J. "Intelligent signal processing for damage detection in composite materials." Composites Science and Technology 62, no. 7-8 (June 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 (April 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 (September 7, 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 roller is about 1830 Hz. However, the characteristic frequencies are about 800 Hz and 73 Hz for peeling and spalling damage on wheel roller. Multifractal dimensions of the vibration signals quantificationally identify and distinguish the surface damage types of wheel rollers, which can provide a meaningful guidance for the subsequent online detection of surface damage of wheel materials.
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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 (April 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 centralized sensor network with a Monte Carlo approach. Then we derive the Bayesian Fisher information matrix (B-FIM) and based on that posterior Cramer-Rao lower bound (PCRLB), which sets a limit on the mean squared error (MSE) of any Bayesian estimator. In addition, we develop an optimal sensor placement approach to achieve more accurate damage localization, which is based on minimizing the PCRLB. Simulation results show that the optimal sensor placement solutions lead to much lower estimation errors than some sub-optimal sensor placement solutions.
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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 structures and materials. However, there remain many challenges in real-world SHM applications. For example, temperature variations can cause a significant decrease in performance of ultrasonic testing. Although there exist some temperature compensation techniques to improve the performance of ultrasonic testing under temperature variations, these techniques have their own limitations. This dissertation will focus on novel ultrasonic signal processing techniques for damage detection, quantification and temperature compensation. In Chapter 2, I will propose a modified optimal signal stretching (OSS) method and an singular value decomposition (SVD) method to solve the temperature compensation problem, where the OSS method (in its original form) failed to perform well for damage detection. In Chapter 3, I will study the statistical orthogonal relationship between temperature-induced and damage-induced ultrasonic change signals. The orthogonal relationship can be used to explain why SVD performs well under varying temperature conditions and why it also has the potential (under some conditions) to be directly used for damage detection and quantification. In Chapter 4, I viii will study the ultrasonic time-of-flight diffraction technique, which is used to quantify wall thickness loss of thick-walled aluminum tubes, because the conventional pulse-echo method did not perform well in my target application. In Chapter 5, I will propose a novel ultrasonic passband technique to quantify the alkali-silica reaction (ASR) caused cracking damage in concrete structures. This technique is based on the ultrasonic wave filtering effects of cracks in concrete. With the progress of ASR caused cracking damage in concrete, more high frequency components of ultrasonic waves are filtered out than low frequency components. The research work in this dissertation has the potential to help advance ultrasonic SHM techniques, to improve the real-world performance of ultrasonic SHM, to prevent failures of infrastructure systems, and to reduce the costs of maintenance if the proposed ultrasonic techniques can be implemented in real infrastructure systems in the future. However, some future work still needs to be done in order to implement the techniques studied in this dissertation in real-world applications.
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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 based SHM can be a promising technique for damage evaluation since it provides reliable damage information through signals propagating over large distance with little loss of amplitude. While this method is effective for damage assessment, the guided Lamb wave contains complicated mode characteristics, i.e. an infinite number of wave modes exist and these modes are generally dispersive. For this reason, a minimum number of wave modes and various signal processing algorithms are implemented to obtain better signal interpretations. Phased array beamsteering is an effective means for damage detection in guided Lamb wave SHM systems. Using this method, the wave energy can be focused at localized directions or areas by controlled excitation time delay of each array element. In this research, two types of transducers are utilized as phased array elements to compare beamsteering characteristics. Monolithic piezoceramic (PZT) transducers are investigated for beamsteering by assuming omnidirectional point sources for each actuator. MacroFiber Composite (MFC) transducers with anisotropic actuation are also studied, considering the wave main lobe width, main lobe magnitude, and side lobe levels. Analysis results demonstrate that the MFC phased arrays perform better than the PZT phased arrays for a range of beamsteering angles and have reduced main lobe width and side lobe levels. Experiments using the PZT and MFC phased arrays on an aluminum plate are also performed and compared to the analysis results. A time-frequency signal processing algorithm coupled with a machine learning method can form a robust damage diagnostic system. Four types of such algorithms, i.e. short time Fourier transform, Wigner-Ville distribution, wavelet transform, and matching pursuit, are investigated to select an appropriate algorithm for damage classification, and a spectrogram based on short time Fourier transform is adopted for its suitability. A machine learning algorithm called Adaboost is chosen due to its effectiveness and high accuracy performance. The classification is preformed using spectrograms and Adaboost for crack and corrosion damages. Artificial cracks and corrosions are created in Abaqus® to obtain the training samples consist of spectrograms. Several beam experiments in laboratory and additional simulations are also performed to get the testing samples for Adaboost. The analysis results show that not only correct damage classification is possible, but the confidence levels of each sample are acquired.
Ph. D.
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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 calcolare la densità spettrale di potenza (PSD) dei dati di accelerazione acquisiti, sulla base di approcci parametrici e non parametrici. Algoritmi nel dominio del tempo (TDD) e della frequenza (FDD), insieme all'identificazione a sorgenti indipendenti del secondo ordine (SOBI), sono stati implementati per la ricostruzione delle curve modali. L'affidabilità delle architetture studiate è stata valutata prima di tutto in condizioni operative nominali, quindi simulando sperimentalmente situazioni di anomalia di varia entità, così come impostando differenti schemi di acquisizione hardware e software. Gli esiti dell'elaborazione hanno mostrato in entrambi i casi un'alta e soddisfacente corrispondenza tra il modello analitico di riferimento e la risposta degli algoritmi implementati. Versatilità, facilità di riconfigurazione, scalabilità e compatibilità con installazioni a lungo termine sono alcuni fra i più importanti vantaggi delle circuiterie presentate. Il peso leggero e i costi ridotti, unitamente alla robustezza delle tecniche di elaborazione dei dati registrati, potenziano inoltre le capacità del sistema di fornire informazioni in tempo reale.
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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.
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 damage detection is explored using instantaneous frequency and stiffness degradation methods. Instantaneous frequency was estimated using continuous wavelet transform of measured acceleration response of the structure subjected to ground motion. Complex Morlet Wavelet was used in the time-frequency analysis due to its ability to provide sufficient resolution in both time and frequency domains. This ability is important in analyzing nonstationary signals like earthquake response of structure containing sharp changes in the signal. The second method, called the stiffness degradation analysis, is based on estimating the time-varying stiffness. This estimation is done by fitting a moving least-square line to the force-displacement loop for the duration of the ground motion.A four-story shear building is used as the model structure for numerical analysis. Two damage scenarios are considered: single damage instant and multiple damage instants. Both scenarios assume that the damage occurs at a single location. In the numerical simulations, damage was modeled as a reduction in the stiffness of the first floor, and accelerations were computed at floor levels using state-space model. The two methods were compared in terms of their damage detection ability and it was shown that both methods can be used in detecting damage and the time at which the damage occurs. These methods can later be extended by simultaneously considering the correlations of responses at all floor levels. This extension may enable locating the damage and quantifying the severity of the damage.
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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 operating costs. The main goal of this dissertation is to develop a reliable and cost-effective SHM system for inspection of composite and metallic structures. The Surface Response to Excitation (SuRE) method is one of the SHM approaches that was developed at the FIU mechatronics lab as an alternative for the electromechanical impedance method to reduce the cost and size of the equipment. In this study, firstly, the performance of the SuRE method was evaluated when the conventional piezoelectric elements and scanning laser vibrometer were used as the contact and non-contact sensors, respectively, for monitoring the presence of loads on the surface. Then, the application of the SuRE method for the characterization vii of the milling operation for identical aluminum plates was investigated. Also, in order to eliminate the need for a priori knowledge of the characteristics of the structure, some advanced signal processing techniques were introduced. In the next step, the heterodyne method was proposed, as a nonlinear baseline free, SHM approach for identification of the debonded region and evaluation of the strength of composite bonds. Finally, the experimental results for both methods were validated via a finite element software. The experimental results for both SuRE and heterodyning method showed that these methods can be considered as promising linear and nonlinear SHM approaches for monitoring the health of composite and metallic structures. In addition, by validating the experimental results using FEM, the path for further improvement of these methods in future researches was paved.
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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 results have an impact on the implementation of more precise rolling contact fatigue tests and evaluation of parameters of acoustic emission signal. On the basis of experiments was established methodology for more precise RCF testing method using acoustic emission on test-rig AXMAT II.
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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 by the International Association for the Study of Pain’s Core Curriculum for Professional Education in Pain for the topic of neuropathic pain. The questions cover topics including definitions, common clinical conditions, uncommon clinical conditions, therapeutic interventions, pathophysiological mechanisms, and current investigations.
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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 mechanical, thermal and chemical stimuli; the major peripheral mechanism of neuropathic pain is the generation of ectopic discharges in injured nerve fibres. These phenomena are created by changes of ion channels in the neurons, e.g. by the influence of inflammatory mediators or growth factors. Both peripheral sensitization and ectopic discharges can evoke the development of hyperexcitability of central nociceptive pathways, called central sensitization, which amplifies the nociceptive processing. Central sensitization is caused by changes of the synaptic processing, in which glial cell activation also plays an important role. Endogenous inhibitory neuronal systems may reduce pain but some types of pain are characterized by the loss of inhibitory neural function. In addition to their role in pain generation, nociceptive afferents and the spinal cord can further enhance the inflammatory process by the release of neuropeptides into the innervated tissue and by activation of sympathetic efferent fibres. However, in inflamed tissue the innervation is remodelled by repellent factors, in particular with a loss of sympathetic nerve fibres.
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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, 115–20. Stafa: 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, 85–107. Dordrecht: 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, 1199–208. Singapore: 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, 87–100. Singapore: 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, 289–96. Cham: 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, 719–26. Boston, MA: 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, 788–97. Cham: 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, 1043–50. 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, 155–64. 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, 659–96. 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, Shengping Liu, Zushu Li, Zhongwei Jiang, and Jin Young Choi. SPIE, 2005. http://dx.doi.org/10.1117/12.664371.

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Robinson, Brian M., Woody English, Darrell Langford, Josh Walters, Bill Angotta, Stuart Fowler, and Robert Diltz. "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. Reston, Virigina: 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. Fort Belvoir, VA: Defense Technical Information Center, October 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), April 2000. http://dx.doi.org/10.2172/793960.

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