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Relevant bibliographies by topics / Signal processing; Spalling damage / Dissertations / Theses

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

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Chidambar, Munavalli Sainath. "Structural Data Acquisition Using Sensor Network." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/879.

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The development cost of any civil infrastructure is very high; during its life span, the civil structure undergoes a lot of physical loads and environmental effects which damage the structure. Failing to identify this damage at an early stage may result in severe property loss and may become a potential threat to people and the environment. Thus, there is a need to develop effective damage detection techniques to ensure the safety and integrity of the structure. One of the Structural Health Monitoring methods to evaluate a structure is by using statistical analysis. In this study, a civil stru

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12

Sommer, Andrew Patrick. "VIBRATION-BASED HEALTH MONITORING OF MULTIPLE-STAGE GEAR TRAIN AND DIFFERENTIAL PLANETARY TRANSMISSION INVOLVING TEETH DAMAGE AND BACKLASH NONLINEARITY." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/631.

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The objective of this thesis is to develop vibration-based fault detection strategies for on-line condition monitoring of gear transmission systems. The study divides the thesis into three sections. First of all, the local stresses created by a root fatigue crack on a pinion spur gear are analyzed using a quasi-static finite element model and non-linear contact mechanics simulation. Backlash between gear teeth which is essential to provide better lubrication on tooth surfaces and to eliminate interference is included as a defect and a necessary part of transmission design. The second section i

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13

Gousseau, William. "Pronostic de dégradation d'endommagements de roulements sur application aéronautique par analyse vibratoire." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI063.

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Dans le cadre d’une maintenance préventive de ses moteurs, Safran Aircraft Engines souhaite compléter ses opérations de diagnostic par un pronostic fiable de la durée de vie résiduelle des roulements. Suite à une agression, il y a actuellement une grande incertitude sur la durée de vie restante avant défaillance du roulement à partir du seuil d’observabilité vibratoire de l’endommagement. Les algorithmes actuels diagnostiquent un stade de dégradation approximatif et génèrent des messages d’alarme de différents niveaux, chaque niveau correspondant à un stade de dégradation différent, mêlant con

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14

Moghadam, Amin. "A signal-processing-based approach for damage detection of steel structures." Thesis, 2019. http://hdl.handle.net/2097/39465.

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Master of Science<br>Department of Civil Engineering<br>Hani G. Melhem<br>This study reports the results of an analytical, experimental and a numerical study (proof of concept study) on a proposed method for extracting the pseudo-free-vibration response of a structure using ambient vibration, usually of a random nature, as a source of excitation to detect any change in the dynamic properties of a structure that may be caused by damage. The structural response contains not only a random component but also a component reflecting the dynamic properties of the structure, comparable to the free vib

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15

(9293561), Rih-Teng Wu. "Development and Application of Big Data Analytics and Artificial Intelligence for Structural Health Monitoring and Metamaterial Design." Thesis, 2020.

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<p>Recent advances in sensor technologies and data acquisition platforms have led to the era of Big Data. The rapid growth of artificial intelligence (AI), computing power and machine learning (ML) algorithms allow Big Data to be processed within affordable time constraints. This opens abundant opportunities to develop novel and efficient approaches to enhance the sustainability and resilience of Smart Cities. This work, by starting with a review of the state-of-the-art data fusion and ML techniques, focuses on the development of advanced solutions to structural health monitoring (SHM) and met

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16

日比野, 倫夫, 進. 丸勢, 宏. 下山, せつ子杉山, 孝明花井 та 嘉樹内川. "試料損傷のない高解像度電子顕微鏡観察法の研究". 1990. http://hdl.handle.net/2237/12936.

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