Relevant bibliographies by topics / Damage Detection

Contents

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

Academic literature on the topic 'Damage Detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Damage Detection"

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Vafaei, Mohammadreza, Azlan bin Adnan, and Mohammadreza Yadollahi. "Seismic Damage Detection Using Pushover Analysis." Advanced Materials Research 255-260 (May 2011): 2496–99. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2496.

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Inter-story drift ratio is a general damage index which is being used to detect damaged stories after severe ground motions. Since this general damage index cannot detect damaged elements also the severity of imposed damages on elements, a new real-time seismic damage detection method base on artificial neural networks was proposed to overcome this issue. This approach considers nonlinear behaviour of structures and not only is capable of detecting damaged elements but also can address the severity of imposed damages. Proposed algorithm was applied on a 3-story concrete building .The obtained
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Dhokane, Mr Rahul. "CAR DAMAGE DETECTION USING CNN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30508.

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In today's modern society, automobiles play a crucial role, and the automatic classification of car damages holds particular significance for the auto insurance industry. Our proposed solution involves the implementation of two Convolutional Neural Network (CNN) models. Specifically, the VGG16 model is employed to identify and assess the location and severity of car damage, while the Mask R-CNN is utilized to accurately mask the damaged regions. Both models collectively provide valuable insights into the extent. The CNN models effectively filter out images without damages, allowing only those
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Zhang, Yu, Xin Feng, Zhe Fan, Shuang Hou, Tong Zhu, and Jing Zhou. "Experimental investigations on seismic damage monitoring of concrete dams using distributed lead zirconate titanate sensor network." Advances in Structural Engineering 20, no. 2 (2016): 170–79. http://dx.doi.org/10.1177/1369433216660002.

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Seismic damage detection of concrete dams has always attracted much attention in hydraulic structure community. In this article, a novel seismic damage detection system was developed to perform seismic damage monitoring in concrete dams. As its importance in achieving the dam damage detection, the arrangement of a distributed lead zirconate titanate sensor network was introduced in detail. A dam model system with a distributed lead zirconate titanate sensor network was used as an object for verification. A shaking table was used to simulate the earthquake ground motion for the object to be tes
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Raj, R. Melvin, Jyosthna R, Ramya Madhuri N, Akshay Sunny R, and Pratima A. "Damage Detection of An Automobile." International Journal of Engineering Research in Computer Science and Engineering 9, no. 10 (2022): 61–64. http://dx.doi.org/10.36647/ijercse/09.10.art014.

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As a result of the proliferation of automobile in- dustries today. There have been an increasing number of car accidents, not all of which are serious, but the automobile is damaged. Detecting automobile damage at the site of an accident using images is exceptionally beneficial as it may significantly lower the cost of processing the insurance reimbursement process while also providing more convenience to automobile users. In most cases, this damage is detected and assessed manually from the car’s images during the car evaluation process. In this paper, we worked on the problem of automation o
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NASERALAVI, S. S., S. GERIST, E. SALAJEGHEH, and J. SALAJEGHEH. "ELABORATE STRUCTURAL DAMAGE DETECTION USING AN IMPROVED GENETIC ALGORITHM AND MODAL DATA." International Journal of Structural Stability and Dynamics 13, no. 06 (2013): 1350024. http://dx.doi.org/10.1142/s0219455413500247.

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This paper addresses a proficient strategy for detection of structural damages in details using the variations of eigenvalues and eigenvectors. There are two concerns in this study. First, the severity of damage can vary within the damaged elements; second, it is possible that the damage extents do not exactly match the pre-generated finite element mesh. The first concern forms the motivation for employing the proper damage functions to model the elemental damages, and the second for considering the nodal positions as design variables. To obtain the design variables, an improved genetic algori
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Amina Saouab, Hajar Chouiyakh, Mustafa Faqir, Kenza Bouchaala, Fathi Ghanameh, and Elhachmi Essadiqi. "Study of Multistage Damage Detection Method Based on Lamb Waves and Thermal Effect." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 93, no. 1 (2022): 200–211. http://dx.doi.org/10.37934/arfmts.93.1.200211.

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Non-destructive testing has been implemented in many industries to ensure structural safety and reliability by detecting defects. In this study, Lamb waves are used for early damage detection and characterization. The aim of this research work is to develop a methodology for damage characterization (detection, localization, severity, and life estimation). Different problems associate with Lamb waves propagation as their dispersive behavior, and the effect of varying temperature on the amplitude and arrival time of the wave. Current study focuses on investigating the multistage damage detection
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Park, Sang-Eun, and Yoon Taek Jung. "Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data." Remote Sensing 12, no. 1 (2020): 137. http://dx.doi.org/10.3390/rs12010137.

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Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami. Several studies have provided experimental evidence for the importance of polarimetric SAR observations in building damage detection and assessment, particularly caused by a tsunami. This study aims to evaluate the practical applicability of the polarimetric SAR observations to building damage caused by the direct ground-shaking of an earthquake. The urban areas heavily damaged by the 2016 Kumamot
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Al Duhayyim, Mesfer, Areej A. Malibari, Abdullah Alharbi, et al. "Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images." Remote Sensing 14, no. 24 (2022): 6222. http://dx.doi.org/10.3390/rs14246222.

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Roads can be significant traffic lifelines that can be damaged by collapsed tree branches, landslide rubble, and buildings debris. Thus, road damage detection and evaluation by utilizing High-Resolution Remote Sensing Images (RSI) are highly important to maintain routes in optimal conditions and execute rescue operations. Detecting damaged road areas through high-resolution aerial images could promote faster and effectual disaster management and decision making. Several techniques for the prediction and detection of road damage caused by earthquakes are available. Recently, computer vision (CV
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Carminati, M., and S. Ricci. "Structural Damage Detection Using Nonlinear Vibrations." International Journal of Aerospace Engineering 2018 (September 25, 2018): 1–21. http://dx.doi.org/10.1155/2018/1901362.

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Nonlinear vibrations emerging from damaged structures are suitable indicators for detecting defects. When a crack arises, its behavior could be approximated like a bilinear stiffness. According to this scheme, typical nonlinear phenomena as the presence of superharmonics in the dynamic response and the variation of the oscillation frequency in time emerge. These physical consequences give the opportunity to study damage detection procedures with relevant improvements with respect to the typical strategies based on linear vibrations, such as high sensitivity to small damages, no need for an acc
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Stoykov, Stanislav, Emil Manoach, and Maosen Cao. "Vibration Based Damage Detection of Rotating Beams." MATEC Web of Conferences 148 (2018): 14008. http://dx.doi.org/10.1051/matecconf/201814814008.

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The early detection and localization of damages is essential for operation, maintenance and cost of the structures. Because the frequency of vibration cannot be controlled in real-life structures, the methods for damage detection should work for wide range of frequencies. In the current work, the equation of motion of rotating beam is derived and presented and the damage is modelled by reduced thickness. Vibration based methods which use Poincaré maps are implemented for damage localization. It is shown that for clamped-free boundary conditions these methods are not always reliable and their s
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Dissertations / Theses on the topic "Damage Detection"

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Cockerill, Aaron. "Damage detection of rotating machinery." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/105671/.

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Acoustic emission (AE) is an emerging technique for the condition monitoring of rotating machinery components, including both rolling element bearings and gears. Due to the high frequency range over which AE is sensitive to, AE potentially offers advantages for detection of incipient damage at an early stage of failure when compared to traditional techniques such as vibration. This thesis first investigates the effects of increased speed and load on the generation of AE within cylindrical roller bearings, and determines similarities and differences between AE and vibrational data. A traditiona
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Dissanayake, Amal S. "Electrostatic discharge damage detection method." Thesis, Kansas State University, 1997. http://hdl.handle.net/2097/13512.

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Al, Jailawi Samer Saadi Hussein. "Damage detection using angular velocity." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6539.

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The present work introduces novel methodologies for damage detection and health monitoring of structural and mechanical systems. The new approach uses the angular velocity inside different mathematical forms, via a gyroscope, to detect, locate, and relatively quantify damage. This new approach has been shown to outperform the current state-of-the-art acceleration-based approach in detecting damage on structures. Additionally, the current approach has been shown to be less sensitive to environmental acoustic noises, which present major challenges to the acceleration-based approaches. Furthermor
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Gharibnezhad, Fahit. "Robust damage detection in smart structures." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/277544.

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This thesis is devoted to present some novel techniques in Structural Health Monitoring (SHM). SHM is a developing field that tries to monitor structures to make sure that they remain in their desired condition to avoid any catastrophe. SHM includes different levels from damage detection area to prognosis field. This work is dedicated to the first level, which might be considered the main and most important level. New techniques presented in this work are based on different statistical and signal processing methods such as Principal Component Analysis and its robust counterpart, Wavelet Transf
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Matlack, Kathryn H. "Nonlinear ultrasound for radiation damage detection." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51965.

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Radiation damage occurs in reactor pressure vessel (RPV) steel, causing microstructural changes such as point defect clusters, interstitial loops, vacancy-solute clusters, and precipitates, that cause material embrittlement. Radiation damage is a crucial concern in the nuclear industry since many nuclear plants throughout the US are entering the first period of life extension and older plants are currently undergoing assessment of technical basis to operate beyond 60 years. The result of extended operation is that the RPV and other components will be exposed to higher levels of neutron radiat
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Huethwohl, Philipp Karl. "Bridge damage detection and BIM mapping." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/285562.

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Bridges are a vitally important part of modern infrastructure. Their condition needs to be monitored on a continuous basis in order to ensure their safety and functionality. Teams of engineers visually inspect more than half a million bridges per year in the US and the EU. There is clear evidence to suggest that they are not able to meet all bridge inspection guideline requirements. In addition, the format and storage of inspection reports varies considerably across authorities because of the lack of standardisation. The availability of a comprehensive and open digital representation of the da
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Malik, Shoaib Ahmad. "Damage detection using self-sensing composites." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/1750/.

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The primary aim of this research programme was to enable damage detection in glass fibre reinforced composites using the reinforcing fibres as the sensing element. In other words, E-glass fibres were used as light guides to detect the fracture of individual fibres, when loaded in tension. This was achieved by monitoring the transmitted light intensity through the reinforcing glass fibres. Two types of glass fibres and matrices were evaluated. In the case of glass fibres, E-glass and custom-made small-diameter (12 µm) optical fibre (SDOF) were used. Three types of low refractive index resin sys
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Tadros, Nader Nabil Aziz. "Structural damage detection using ambient vibrations." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18178.

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Master of Science<br>Department of Civil Engineering<br>Hani G. Melhem<br>The objective of this research is to use structure ambient random vibration response to detect damage level and location. The use of ambient vibration is advantageous because excitation is caused by service conditions such as normal vehicle traffic on a highway bridge, train passage on a railroad bridge, or wind loads on a tall building. This eliminates the need to apply a special impact or dynamic load, or interrupt traffic on a bridge in regular service. This research developed an approach in which free vibration of a
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Asnaashari, Erfan. "Vibration-based damage detection in structures." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-damage-detection-in-structures(09061582-55fb-4fba-846e-2156dd4ef172).html.

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Structural health monitoring systems have a great potential for cost saving and safety improvement in different types of structures. One of the most important tasks of these systems is to identify damage at an early stage of its development. A variety of methods may be used to identify, locate, or quantify the extent of damage or fault in a structural or mechanical component. However, the preferable method is the one which maximises the probability of detecting the flaw, while also considering feasibility of in-situ testing, ease of use and economic factors. Cracks are one of the common defect
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Dixit, Akash. "Damage modeling and damage detection for structures using a perturbation method." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43575.

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This thesis is about using structural-dynamics based methods to address the existing challenges in the field of Structural Health Monitoring (SHM). Particularly, new structural-dynamics based methods are presented, to model areas of damage, to do damage diagnosis and to estimate and predict the sensitivity of structural vibration properties like natural frequencies to the presence of damage. Towards these objectives, a general analytical procedure, which yields nth-order expressions governing mode shapes and natural frequencies and for damaged elastic structures such as rods, beams, plates an
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Books on the topic "Damage Detection"

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Kato, Takamitsu A., ed. DNA Damage Detection. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4574-1.

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Masters, JE, ed. Damage Detection in Composite Materials. ASTM International, 1992. http://dx.doi.org/10.1520/stp1128-eb.

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Didenko, Vladimir V., ed. Fast Detection of DNA Damage. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7187-9.

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E, Masters John, and International Symposium on Damage Detection and Quality Assurance in Composite Materials (1990 : San Antonio, Tex.), eds. Damage detection in composite materials. ASTM, 1992.

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Didenko, Vladimir V. In Situ Detection of DNA Damage. Humana Press, 2002. http://dx.doi.org/10.1385/1592591795.

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Eftekhar Azam, Saeed. Online Damage Detection in Structural Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02559-9.

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Baruch, Menahem. Damage detection based on reduced measurements. Technion-Israel Institute of Technology, Faculty of Aerospace Engineering, 1995.

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Decker, Arthur J. Damage detection using holography and interferometry. National Aeronautics and Space Administration, Glenn Research Center, 2003.

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Center, NASA Glenn Research, ed. Damage detection using holography and interferometry. National Aeronautics and Space Administration, Glenn Research Center, 2003.

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Center, NASA Glenn Research, ed. Gear damage detection using oil debris analysis. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Book chapters on the topic "Damage Detection"

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Hirao, Masahiko, and Hirotsugu Ogi. "Creep Damage Detection." In Electromagnetic Acoustic Transducers. Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-56036-4_17.

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Xu, You-Lin, and Jia He. "Structural damage detection." In Smart Civil Structures. CRC Press, 2017. http://dx.doi.org/10.1201/9781315368917-15.

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Ghosh, Bidisha, Michael O’Byrne, Franck Schoefs, and Vikram Pakrashi. "Surface damage detection." In Image-Based Damage Assessment for Underwater Inspections. CRC Press, 2018. http://dx.doi.org/10.1201/9781351052580-6.

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Frangopol, Dan M., and Sunyong Kim. "Probabilistic Damage Detection." In Life-Cycle of Structures Under Uncertainty. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053283-3.

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Uhl, Tadeusz, Tadeusz Stepinski, and Wieslaw Staszewski. "Introduction." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch1.

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Kohut, Piotr, and Krzysztof Holak. "Vision-Based Monitoring System." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch10.

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Paćko, Paweł. "Numerical Simulation of Elastic Wave Propagation." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch2.

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Gallina, Alberto, Paweł Paćko, and Łukasz Ambroziński. "Model Assisted Probability of Detection in Structural Health Monitoring." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch3.

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Klepka, Andrzej. "Nonlinear Acoustics." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch4.

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Mańka, Michał, Mateusz Rosiek, and Adam Martowicz. "Piezocomposite Transducers for Guided Wavess." In Advanced Structural Damage Detection. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118536148.ch5.

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Conference papers on the topic "Damage Detection"

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Ersü, Can, Karl Janson, Eduard Petlenkov, and Uljana Reinsalu. "Automatic Visual Traffic Sign Damage Detection and Measurement of Damaged Area." In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2024. https://doi.org/10.1109/icarcv63323.2024.10821546.

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Kumari, L. V. Rajani, E. Samsritha, K. Neha, and Rasana Khandala. "Fruit Damage Detection using Custom CNN." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724199.

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Cury, Joaquin, Olivia Griffith, Jordan VIlla, and Claus-Peter Richter. "Optical detection of basilar membrane damage." In Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2025, edited by Brian J. F. Wong and Justus F. Ilgner. SPIE, 2025. https://doi.org/10.1117/12.3044747.

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Long, Justin, and Stephen Conlon. "Airframe Active Vibration-Based Damage Detection and Localization." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9644.

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The development of damage detection, localization and automation techniques is crucial for the successful integration of structural health monitoring technologies in rotorcraft. This study focused on the development of a nonlinear vibration spectroscopy based damage detection and localization method. A progression of damaged joint conditions was created in a prototypical stiffened aluminum plate test bed. Active vibration sources were used to excite the structure, and strain sensor rosettes were used to measure the nonlinear vibration responses induced by the damage. Using a systematic approac
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Sawada, Kota, Yasushi Taniuchi, Takehiro Nojima, et al. "Nondestructive Detection of Creep Damage in ASME Grade 91 Steel Welds." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0960.

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Abstract This study evaluates various nondestructive testing methods for detecting creep damage and assessing residual life in Grade 91 steel welds. Three primary detection techniques were investigated: phased array ultrasonic testing (PAUT), eddy current testing with high-temperature superconductor direct current and superconducting quantum interference device (ECT•HTS-dc-SQUID), and replica observation. PAUT detected creep damage between 60-80% of creep life, while ECT•HTS-dc-SQUID showed detection capability between 80-90% of creep life. Replica observation revealed creep voids only in the
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Mistry, Rajan, and Robert Heathcote. "Synthetic dark-field imaging for optic damage detection." In Laser-Induced Damage in Optical Materials 2024, edited by Christopher W. Carr, Detlev Ristau, Carmen S. Menoni, and Michael D. Thomas. SPIE, 2024. https://doi.org/10.1117/12.3032288.

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Lestari, W., and S. Hanagud. "Damage Detection Using Experimental Data Based Methods." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1724.

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Abstract The objective of this work is to develop a damage detection algorithm, which is based on experimentally identified data and a mathematical relation between the damage information and the changes in structural dynamic characteristics. The relation is derived in the form of a differential equation, which relate the damage information, natural frequency changes, and the modes of the undamaged and damaged structure. The curvature mode is chosen in this method due to its sensitivity to the presence of the damage and its localized information. The detection algorithm enables one to locate t
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Gawronski, Wodek, and Jerzy T. Sawicki. "Structural Damage Detection Using Modal Norms." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8374.

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Abstract A modal H2 norm is used to detect structural damages. The norm is determined for each sensor location, and for modal modes of interest. The sensor norm detects the damage location, the modal norm detect the most damaged mode.
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Goossens, Sidney, Damilare Ojo, Panagiotis Mantas, Alexandre Mauricio, Konstantinos Gryllias, and Francis Berghmans. "Repeatability of FBG-based damage detection on bearings." In Optical Sensing and Detection VIII, edited by Francis Berghmans and Ioanna Zergioti. SPIE, 2024. http://dx.doi.org/10.1117/12.3022503.

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Ghazi, Reza Mohammadi, James Long, and Oral Buyukozturk. "Structural Damage Detection Based on Energy Transfer Between Intrinsic Modes." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3022.

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In this study, a new damage detection algorithm for specific types of damages such as breathing cracks, which are called “active discontinuities” in this paper, is proposed. The algorithm is based on the nonlinear behavior of this class of damages and hence, is more precise and sensitive to damage compared to other common linear methods. The active discontinuities can be regarded as additional degrees of freedom (DOFs) which need energy to be excited. Because the input energy of both the intact and the damaged structures is finite, the energy content of vibrating modes will be changed due to d
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Reports on the topic "Damage Detection"

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Farrar, Charles R., Keith Worden, Michael D. Todd, et al. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/922532.

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Miller, Tim, and R. Lasser. Composite Damage Detection Using Novel Experimental Methods. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada407271.

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Hartman, George A. Infrared Damage Detection System (IDDS) for Real-Time, Small-Scale Damage Monitoring. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada467885.

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Rahmani, Mehran, Xintong Ji, and Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2033.

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This study presents a major development to the wave method, a methodology used for structural identification and monitoring. The research team tested the method for use in structural damage detection and damage localization in bridges, the latter being a challenging task. The main goal was to assess capability of the improved method by applying it to a shake-table-tested prototype bridge with sparse instrumentation. The bridge was a 4-span reinforced concrete structure comprising two columns at each bent (6 columns total) and a flat slab. It was tested to failure using seven biaxial excitation
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Miller, T. C., Bob Lasser, and Burt VanderHeiden. Composite Damage Detection Using a Novel Ultrasonic Method. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada410224.

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Mishra, Pranay, Asha Hall, and Michael Coatney. Embedded Carbon Nanotube Networks for Damage Precursor Detection. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada599174.

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Haworth, W. L. Fatigue Damage Detection in Steels by Optical Correlation. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada155830.

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Bily, Mollie A., Young W. Kwon, and Randall D. Pollak. Damage Detection in Composite Interfaces through Carbon Nanotube Reinforcement. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada516359.

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Islam, Abu S., and Kevin Craig. Damage Detection and Mitigation of Composite Structures using Smart Materials. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada261121.

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Clark, G., C. Robbins, K. Wade, and P. Souza. Cable Damage Detection System and Algorithms Using Time Domain Reflectometry. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/971773.

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