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Relevant bibliographies by topics / Classification of failures

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Academic literature on the topic 'Classification of failures'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Classification of failures"

1

Babkov, Yu V., E. E. Belova, and M. I. Potapov. "On the classification of motive power failures." Dependability 21, no. 4 (2021): 12–19. http://dx.doi.org/10.21683/1729-2646-2021-21-4-12-19.

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The Aim of the article is to develop a motive power failure classification to enable substantiated definition of dependability requirements for motive power as a part of a railway transportation system, as well as for organizing systematic measures to ensure a required level of its dependability over the life cycle. Methods. The terminology of interstate dependability-related standards was analysed and the two classifications used by OJSC “RZD” for estimating the dependability of technical systems and motive power were compared. The dependability of railway transportation systems is studied us

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Cheng, Hang, Xi Li, Zheng Bo Qin, and Chao Yong Huang. "Method of Bearing Fault Identification Based on SVM Decision Tree." Applied Mechanics and Materials 190-191 (July 2012): 1010–15. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.1010.

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This paper has put forward one method, combining with theory of decision tree and method of voting, and established one kind of multi-failure classifier of SVM, which could finish cross training, repeated classification and accumulative voting. This classifier could accomplish classification of failure bearings and do classification experiments among failures of kinds of bearings. The results have shown that this method could identify states of breakdown equipment for the purpose of diagnosis of failures of mechanical system accurately.

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Gunawardhana, D. N. T., and Chandana Perera. "Classification of Failure Factors in Information Systems." International Journal for Innovation Education and Research 3, no. 3 (2015): 201–11. http://dx.doi.org/10.31686/ijier.vol3.iss3.339.

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Failure rate of Information Systems have rapidly increased in different aspects due to different reasons. Although above situation is not a new sight in the field of Information System, it creates many obstacles to regular activities of any organization. The failure of Information System has become a common state for any organization or industry and not depending on their rank or status. Numerous factors may have affected for Information System Failures and these factors are functioning together or individually to create the failure situation of Information Systems. The objective of this paper

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Rodrigues, João Antunes, Alexandre Martins, Mateus Mendes, José Torres Farinha, Ricardo J. G. Mateus, and Antonio J. Marques Cardoso. "Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning." Energies 15, no. 24 (2022): 9387. http://dx.doi.org/10.3390/en15249387.

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Monitoring the condition of industrial equipment is fundamental to avoid failures and maximize uptime. The present work used supervised and unsupervised learning methods to create models for predicting the condition of an industrial machine. The main objective was to determine when the asset was either in its nominal operation or working outside this zone, thus being at risk of failure or sub-optimal operation. The results showed that it is possible to classify the machine state using artificial neural networks. K-means clustering and PCA methods showed that three states, chosen through the El

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Kumari, H. M. N. S., and U. M. M. P. K. Nawarathne. "Machine Failure Prediction Using Multilabel Classification Methods." Journal of Advances in Engineering and Technology 2, no. 2 (2024): 37–45. http://dx.doi.org/10.54389/oknw9621.

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Early detection of machine failure is crucial in every industrial setting as it may prevent unexpected process downtimes as well as system failures. However, machine learning (ML) models are increasingly being utilized to forecast system failures in industrial maintenance, and among them, multilabel classification techniques act as efficient methods. Therefore, this study analyzed machine failure data with five types of machine failures. Initially, a feature selection approach was also carried out in this study to determine the variables which directly cause machine failure. Furthermore, multi

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Skaalsvik, Hugo. "Service failures in a cruise line context: Suggesting categorical schemes of service failures." European Journal of Tourism Research 4, no. 1 (2011): 25–43. http://dx.doi.org/10.54055/ejtr.v4i1.60.

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This paper reports a study on service failures carried out on the prestigious Norwegian Coastal Voyage (NCV) or the Hurtigruten which is the brand name. Service failures are studied from the perspective of the service employees. Seven tour conductors participated in the study and in the research personal, face-to-face, in-depth interviews were carried out using an interview guide as a data collection tool. The respondents provided descriptive accounts of 51 service failure incidents which were used to develop a classification scheme of service failures. The service failure classification schem

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Khairnar, Mayur, A. Raam Prasath, Tejasvi Seth, Sanika Dhamapurkar, and Darshana Raut. "KHAIRNAR’S Pterygoid Classification: Pterygo-Maxillary Anatomical Variation-Guided Approach for Placement of Pterygoid Implants." Journal of Pharmacy and Bioallied Sciences 17, Suppl 2 (2025): S1505—S1507. https://doi.org/10.4103/jpbs.jpbs_66_25.

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ABSTRACT Background: Implant placement in the pterygoid region has been a complex challenge due to anatomical variability and limited bone availability. Khairnar’s Collectives introduces a novel clinical classification system to streamline predictable pterygoid implant placement, addressing the unique anatomical considerations for successful outcomes. Materials and Methods: This retrospective study analyzed 597 pterygoid implants placed over 6 years. Implants were classified into six types (1–6) with each subtype A and B based on Khairnar’s pterygoid bone classification, which assesses bone in

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Listewnik, Karol Jakub. "A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters." Energies 15, no. 14 (2022): 5305. http://dx.doi.org/10.3390/en15145305.

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This article presents a new method for the classification of machine failures using an example of selected generating sets. Measurements and an analysis of the electrical parameters, such as the phase-to-phase voltages at the terminals of a synchronous generator, armature current, and voltage and excitation current of a synchronous generator, are the basis for determining the failure symptoms. The existing energy quality coefficients are adopted as symptoms for the assessment of failures in the monitored generating set. We assume in this method that the description of the input–output relation

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Mendes Júnior, José Jair Alves, Marcelo Bissi Pires, Mário Elias Marinho Vieira, Sérgio Okida, and Sergio Luiz Stevan Jr. "Neural Network to Failure Classification in Robotic Systems." Brazilian Journal of Instrumentation and Control 4, no. 1 (2016): 1. http://dx.doi.org/10.3895/bjic.v4n1.4663.

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A robotic system is a reconfigurable element, and inits programming, an algorithm can be implemented in order todetect and classify failures. This is an important step to ensurethat errors in actions do not cause damage or bring risks.Considering this, a Neural Network Multi Layer Perceptron(MLP) was used, in order to classify a set of failures in robotactuators, present in a database. This purpose is to analyze ifrobotic failures could be classified by MLP. The raw data aredivided in a temporal progression manner and torque in x, y andz axes. In total, five MLP neural networks were implemente

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Bahari, Shahril Anuar, and Mansur Ahmad. "Failure Behaviour of Semantan Bamboo Strips Loaded in Bending and Shear." Key Engineering Materials 462-463 (January 2011): 1176–81. http://dx.doi.org/10.4028/www.scientific.net/kem.462-463.1176.

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In this study, the classification of modes of failure, the observation of microscopic failures and the mechanical properties of Semantan bamboo strips were investigated. Specimens were loaded in bending and shear parallel to grain. Specimens were taken from internodes and node parts in bottom, middle and top portions of bamboo culms. From the classification, different modes of failure occurred in different parts of Semantan bamboo culms loaded in bending and shear. From the microscopic observation, the failures occurred in both parenchyma and vascular bundles regions for all classified failure

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Dissertations / Theses on the topic "Classification of failures"

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MATYATIM, Rosliza. "The Classification Model for Corporate Failures in Malaysia." Graduate School of International Development, Nagoya University, 2006. http://hdl.handle.net/2237/7314.

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Haensly, Paul J. "The Application of Statistical Classification to Business Failure Prediction." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278187/.

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Bankruptcy is a costly event. Holders of publicly traded securities can rely on security prices to reflect their risk. Other stakeholders have no such mechanism. Hence, methods for accurately forecasting bankruptcy would be valuable to them. A large body of literature has arisen on bankruptcy forecasting with statistical classification since Beaver (1967) and Altman (1968). Reported total error rates typically are 10%-20%, suggesting that these models reveal information which otherwise is unavailable and has value after financial data is released. This conflicts with evidence on market efficie

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Walia, Gursimran Singh. "Empirical Validation of Requirement Error Abstraction and Classification: A Multidisciplinary Approach." MSSTATE, 2006. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05152006-151903/.

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Software quality and reliability is a primary concern for successful development organizations. Over the years, researchers have focused on monitoring and controlling quality throughout the software process by helping developers to detect as many faults as possible using different fault based techniques. This thesis analyzed the software quality problem from a different perspective by taking a step back from faults to abstract the fundamental causes of faults. The first step in this direction is developing a process of abstracting errors from faults throughout the software process. I have desc

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Blanco, Martínez Alejandro. "Study and design of classification algorithms for diagnosis and prognosis of failures in wind turbines from SCADA data." Doctoral thesis, Universitat de Vic - Universitat Central de Catalunya, 2018. http://hdl.handle.net/10803/586097.

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Actualmente las operaciones de mantenimiento preventivo de los parques eólicos se soportan sobre técnicas de Machine Learning para reducir los costes de las paradas no planificadas. Por eso se necesita una predicción de fallos con cierta anticipación que funcione sobre los datos de SCADA. Estos datos necesitan ser procesados en distintas etapas descritas en esta tesis, con resultados publicados en cada una de ellas. En una primera fase se limpian los valores extremos (Outliers), indicando cómo deben ser tratados para no eliminar la información sobre los fallos. En una segunda, las distintas va

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Swift, James D. "Root Cause Analysis and Classification of Single Point Failures in Designs Applying Triple Modular Redundancy in SRAM FPGAs." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8744.

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Radiation effects encountered in space or aviation environments can affect the configuration bits in Field Programmable Gate Arrays (FPGA) causing errors in FPGA output. One method of increasing FPGA reliability in radiation environments includes adding redundant logic to mask errors and allow time for repair. Despite the redundancy added with triple modular redundancy (TMR) and configuration scrubbing there exist some configuration bits that individually affect multiple TMR domains causing errors in FPGA output. A new tool called DeBit is introduced that identifies hardware resources associat

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Bender, B. R., C. E. Erdahl, and D. W. Dick. "GE PETtrace RF power failures related to poor power quality." Helmholtz-Zentrum Dresden - Rossendorf, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:d120-qucosa-166479.

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Introduction Anyone who has ever overseen the installation of a new cyclotron is aware of the importance of addressing the numerous vendor-supplied site specifications prior to its arrival. If the site is not adequately prepared, the facility may face project cost overruns, poor cyclotron performance and unintended maintenance costs. Once a facility has identified the space, providing sufficient power is the next step. Every cyclotron vendor will provide you with a set of power specifications, but meeting these specifications can be difficult, especially when the cyclotron is placed in an exis

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Murić, Goran. "Resilience of the Critical Communication Networks Against Spreading Failures." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-228883.

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A backbone network is the central part of the communication network, which provides connectivity within the various systems across large distances. Disruptions in a backbone network would cause severe consequences which could manifest in the service outage on a large scale. Depending on the size and the importance of the network, its failure could leave a substantial impact on the area it is associated with. The failures of the network services could lead to a significant disturbance of human activities. Therefore, making backbone communication networks more resilient directly affects the resi

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Taing, Nguonly, Thomas Springer, Nicolás Cardozo, and Alexander Schill. "A Rollback Mechanism to Recover from Software Failures in Role-based Adaptive Software Systems." ACM, 2017. https://tud.qucosa.de/id/qucosa%3A75214.

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Context-dependent applications are relatively complex due to their multiple variations caused by context activation, especially in the presence of unanticipated adaptation. Testing these systems is challenging, as it is hard to reproduce the same execution environments. Therefore, a software failure caused by bugs is no exception. This paper presents a rollback mechanism to recover from software failures as part of a role-based runtime with support for unanticipated adaptation. The mechanism performs checkpoints before each adaptation and employs specialized sensors to detect bugs resulting fr

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Altinel, Fatih. "An Empirical Study On Fuzzy C-means Clustering For Turkish Banking System." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615027/index.pdf.

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Banking sector is very sensitive to macroeconomic and political instabilities and they are prone to crises. Since banks are integrated with almost all of the economic agents and with other banks, these crises affect entire societies. Therefore, classification or rating of banks with respect to their credibility becomes important. In this study we examine different models for classification of banks. Choosing one of those models, fuzzy c-means clustering, banks are grouped into clusters using 48 different ratios which can be classified under capital, assets quality, liquidity, profitability, in

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Khawaja, Taimoor Saleem. "A Bayesian least squares support vector machines based framework for fault diagnosis and failure prognosis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34758.

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A high-belief low-overhead Prognostics and Health Management (PHM) system is desired for online real-time monitoring of complex non-linear systems operating in a complex (possibly non-Gaussian) noise environment. This thesis presents a Bayesian Least Squares Support Vector Machine (LS-SVM) based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian systems. The methodology assumes the availability of real-time process measurements, definition of a set of fault indicators, and the existence of empirical knowledge (or historical data) to characterize both nominal and abn

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Books on the topic "Classification of failures"

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Wierman, T. E. Common-cause failure database and analysis system: Event data collection, classification, and coding. U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2007.

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United States. Congress. House. Committee on Commerce. Subcommittee on Oversight and Investigations. Computer insecurities at DOE headquarters: DOE's failure to get its own cyber house in order : hearing before the Subcommittee on Oversight and Investigations of the Committee on Commerce, House of Representatives, One Hundred Sixth Congress, second session, June 13, 2000. U.S. G.P.O., 2000.

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Papaelias, Mayorkinos, and Fausto Pedro Garca Mrquez. Fault Detection: Classification, Techniques and Role in Industrial Systems. Nova Science Publishers, Incorporated, 2014.

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Katritsis, Demosthenes G., Bernard J. Gersh, and A. John Camm. Classification, epidemiology, and pathophysiology of heart failure. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199685288.003.0744_update_003.

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Farmakis, Dimitrios, John Parissis, and Gerasimos Filippatos. Acute heart failure: epidemiology, classification, and pathophysiology. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0051.

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Acute heart failure is defined as the rapid development or change of symptoms and signs of heart failure that requires urgent medical attention and usually hospitalization. Acute heart failure is the first reason for hospital admission in individuals aged 65 or more and accounts for nearly 70% of the total health care expenditure for heart failure. It is characterized by an adverse prognosis, with an in-hospital mortality rate of 4-7%, a 2-3-month post-discharge mortality of 7-11%, and a 2-3-month readmission rate of 25-30%. The majority of patients have a previous history of heart failure and

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Wang, Cynthia, and Michelle Y. Braunfeld. Acute Liver Failure. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0035.

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Acute liver failure produces widespread physiologic derangements including encephalopathy, coagulopathy, peripheral vasodilation, a systemic inflammatory response, and multiorgan failure. Morbidity is significant, and mortality is 50%. The classification of liver failure and the various etiologies, including viral hepatitis, drug-induced, toxins, and autoimmunity are reviewed here. The multisystem effects of acute liver failure influence all aspects of perioperative care and adequate supportive care during this time is crucial to providing the best possible outcome for the patient. Specific tr

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Common-Cause Failure Database and Analysis System: Event Definition and Classification. United States Government Printing Office, 1998.

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Nesiah, Vasuki. Gender and Forms of Conflict. Edited by Fionnuala Ní Aoláin, Naomi Cahn, Dina Francesca Haynes, and Nahla Valji. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199300983.013.23.

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This chapter compares and contrasts the successes and failures of “conflict mapping” in international humanitarian law (IHL) and international conflict feminism (ICF), a phrase the author uses to refer to feminist initiatives aimed at strengthening international law and policy’s response to women’s experiences. The chapter begins by describing the IHL regime for classification of forms of conflict and the consequences of these stratifications on conflict resolution. It addresses the strategies of ICF, and the challenge it brings to the conflict maps of IHL for not adequately addressing women’s

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Karon, Barry L., and Naveen L. Pereira. Heart Failure and Cardiomyopathies. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199755691.003.0046.

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Heart failure is a clinical syndrome characterized by the inability of the heart to maintain adequate cardiac output to meet the metabolic demands of the body while still maintaining normal or near-normal ventricular filling pressures. Heart failure may be present at rest, but often it is present only during exertion as a result of the dynamic nature of cardiac demands. For correct treatment of heart failure, the mechanism, underlying cause, and any reversible precipitating factors must be identified. Typical manifestations of heart failure are dyspnea and fatigue that limit activity tolerance

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Abu-Elmagd, Kareem M., Ajai Khanna, Masato Fujiki, Koji Hashimoto, Tomasz G. Rogula, and Guilherme Costa. Gut Failure after Bariatric Surgery. Edited by Tomasz Rogula, Philip Schauer, and Tammy Fouse. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190608347.003.0023.

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The gut plays a central role in the control of whole-body energy equilibrium, with obesity and gut failure being the two extremes of the continuum of disrupted energy homeostasis. In the last 25 years there has been a simultaneous evolution of both bariatric surgery for treatment of morbid obesity and surgical rehabilitation for management of gut failure. This chapter addresses gastrointestinal failure with the need for TPN therapy as a true concern among the bariatric surgery population. A new classification is introduced, along with novel surgical procedures, including visceral transplantati

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Book chapters on the topic "Classification of failures"

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Amendola, A. "Classification of Multiple Related Failures." In Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-017-0629-2_3.

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Duval, N., and C. Chaput. "A Classification of Prosthetic Ligament Failures." In Ligaments and Ligamentoplasties. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60428-7_8.

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Bungert, Till J., Levin Kobelke, and Paul F. Jäger. "Understanding Silent Failures in Medical Image Classification." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43898-1_39.

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Bungert, Till J., Levin Kobelke, and Paul F. Jaeger. "Abstract: Understanding Silent Failures in Medical Image Classification." In Bildverarbeitung für die Medizin 2024. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44037-4_29.

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Cieraszewska, Urszula, Paweł Lula, and Magdalena Talaga. "Successes and Failures of Scientific Journals and Their Determinants." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10190-8_12.

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Mafla-Yépez, Carlos, Cristina Castejon-Sisamon, and Higinio Rubio-Alonso. "Vibration Analysis in Agricultural Vehicles for Fault Detection." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_11.

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AbstractFailure analysis of farm tractor’s engines and internal combustion engines is done using vibration analysis due to its efficiency and because it is not invasive to the engine operation. In this work, engine failures are studied based on failures of the injectors opening pressure. The vibration data was obtained by a sensor located in the cylinder block close to the compression chamber. The Fast Fourier Transform (FFT) was applied to obtain characteristics in each engine operating status (injector failures). With the statistical analysis, the characteristics are selected for the classif

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Aldeoes, Yasser N., Prasad Ghockle, and Shilpa Y. Sondkar. "Comparison of Machine Learning Algorithms for Bearing Failures Classification and Prediction." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1111-8_22.

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Hu, Zhenghao, Yingyi Liu, Lin Cheng, Yan Wang, Donglei Zhang, and Xun Tian. "Fault Diagnosis of Infrared Sensor Based on Convolutional Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_14.

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Abstract Infrared sensors are critical equipment for monitoring substations, but they are subjected to complex multi-physical field stresses in substation applications, leading to a significantly higher failure rate of infrared sensors in substations compared to other applications. Effective fault diagnosis of infrared sensors is of great importance for improving the safety of substations. This article proposes a method for fault diagnosis of infrared sensors. First, the network weights are trained based on the ImageNet dataset and kept fixed. Then, a transfer learning approach is used to fine

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Pfoser, Sarah. "Policy Measures to Promote Sustainable Freight Transport." In Decarbonizing Freight Transport. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37103-6_6.

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AbstractIn the following chapter, policy measures are developed which encourage transport users to implement sustainable freight transport. First, organizational theories are used to provide theoretical insights on how to stimulate the use of sustainable practices in Subchapter 6.1. These organizational theories are merged into a theoretical framework which supports the development of policy measures for sustainable freight transport. A fundamental goal of policy measures is to eliminate market failures. Subchapter 6.2 explains which market failures occur in the area of sustainable freight tra

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Kuhnert, Nadine, Lea Pflüger, and Andreas Maier. "Prediction of MRI Hardware Failures based on Image Features Using Time Series Classification." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29267-6_27.

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Conference papers on the topic "Classification of failures"

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Khajezadeh, Hossein, Morteza Savaedi Pour, and Mohammad Manthouri. "Effective Detection and Classification of Robot Execution Failures using Extreme Gradient Boosting (XGboost) Algorithm." In 2024 10th International Conference on Control, Instrumentation and Automation (ICCIA). IEEE, 2024. https://doi.org/10.1109/iccia65044.2024.10768133.

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Chen, Edward, Han Bao, and Tate Shorthill. "Root Cause Correlation Analysis of Software Failures via Orthogonal Defect Classification and Natural Language Processing." In 2024 International Congress on Advances in Nuclear Power Plants (ICAPP). American Nuclear Society, 2024. http://dx.doi.org/10.13182/t130-44255.

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Obidhusin, Saef, N. Subhash Chandra, D. Balamurugan, Premalatha J, and K. Kumararaja. "Classification of System Failures in Cyber-Physical Systems Using Heterogeneous Edge Enhanced Graph Attention Networks." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968783.

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Méndez, Milagros, and Luis Torres. "A Critical Matrix for Classification of Determinig Parameters on Scale Precipitation in Water Injection Projects." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04398.

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Abstract The Furrial reservoir exploitation unit is located in the eastern part of Venezuela and from 1993 it has shown calcium carbonate scale problems due to the injection of water for the secondary recovery of oil. The producing wells in this field have shown recurring failures because of calcium carbonate deposition; in fact, there have been production delays because of this phenomenon. In order to avoid future holdups and problems in the production of oil at the Furrial field, it is necessary to apply treatments that will control scale deposition. Nevertheless, these treatments should be

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Delezoide, Camille, Petros Ramantanis, Fabien Boitier, and Patricia Layec. "Machine Learning Based Failure Prediction for Optical Network Digital Twins." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w4g.5.

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We leverage binary classification models to provide digital twins with forecasting ability, to proactively mitigate the impact of failures on availability. Our preferred model achieves 98.5% accuracy on data collected from a live production network.

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Zheng, Songyuan, Yiru Hou, and Emad Elwakil. "Enhanced Prediction of Water Pipeline Failures Using a Novel MTGNN-Based Classification Model for Smart City Infrastructure." In 2025 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2025. https://doi.org/10.1109/sustech63138.2025.11025674.

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Castaneda, H., Lin Chen, Hui Wang, and Sreelakshmi Sreeharan. "Classification of Active and Passive Surface Conditions Based on Different Relaxation Response for External Corrosion Coated Pipelines." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-18052.

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Abstract The energy transportation network of the United States consists of over 2.5 million miles of buried pipelines. It is of prime importance the integrity of the metallic assets due to degradation in soil conditions because of their constant exposure to the aggressive, dynamic, and heterogeneous environment. This degradation process, involves a sequence of process starting with the coating damages/failures and the following electrochemical reactions. External corrosion can result in gradual and usually localized metal loss on the exterior surface of failure coating, resulting in reduction

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Elliott, J. F., and M. W. Holley. "Continuous Acoustic Monitoring of Structures." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00288.

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Abstract This paper describes the development, testing and application of a continuous acoustic monitoring system to detect and locate corrosion-induced failures of tensioned steel elements in buildings, bridges and pipelines. The monitoring system utilizes acoustic sensors distributed about a structure. Data is processed on-site and transmitted over the Internet to a central processing facility where proprietary processing software is used to generate reports summarizing the time, location and classification of recorded events. Case studies describing the various applications and testing of t

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Hauge, Stein, Solfrid Håbrekke, Mary Ann Lundteigen, and Lars Bodsberg. "Standardised Failure Reporting and Classification of Failures of Safety Instrumented Systems." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services, 2020. http://dx.doi.org/10.3850/978-981-14-8593-0_3993-cd.

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da Silva Santos, Ana Gleice, Luiz Fernando Rust do Carmo, and Charles Bezerra do Prado. "Classification and Clustering for predicting breathalyzer failures." In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2023. http://dx.doi.org/10.1109/i2mtc53148.2023.10176092.

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Reports on the topic "Classification of failures"

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Turner, Joshua. Predicting landfast sea ice plug failures via classification learning. Water and Ice Research Laboratory (WIRL), 2022. http://dx.doi.org/10.22215/wirl/2022.1.

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Greaney, Carrie, and Peter Bullemer. PR-624-173901-WEB Human Factors Risk of Pipeline Damage. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011563.

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Thursday, April 11, 2019 PRESENTER: Peter Bullemer, Human Centered Solutions MODERATOR: Carrie Greaney, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS THE WEBINAR REGISTRATION LINK Webinar Description: The overall purpose of this project was to extend our understanding of the impact of human and organizational factors (HOF) on pipeline process safety incidents. Six pipeline incident reports were systematically analyzed using a two-phased approach developed in the Abnormal Situation Management (ASM�) Consortium research program. The first phase of the incident analysis approach used the TapRoot m

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Ting, Wang, and Jeff Sutherland. PR-469-143708-R02 In-line Inspection and Assessment for Pipeline Girth Weld Defects. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011487.

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During 2010 to 2012, the United States reported a total of eight girth weld failures and economic loss amounted to $4,382,000 [Summarized from data provided by PHMSA, http://www.phmsa.dot.gov/pipeline/library/data-stats/flagged-data-files]. PRCI has several projects (current and historic) that investigate various integrity concerns of vintage girth weld defects. Globally, the integrity of girth welds of oil and gas pipelines has increased as a concern due to failures with high consequences. A primary integrity issue to pipelines that has been the motivation of this project, considers defects o

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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes

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Wilkowski, Maxey, and Eiber. L51705 Cyclic Pressure Fatigue Life of Pipelines with Plain Dents Dents with Gouges and Dents with Welds. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010606.

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Research has been conducted to study the effects of dents, gouges, and weld seams on pipelines under cyclic internal pressure loading. The work associated with this project has involved both experimental and finite element analysis on pipes with D/t ratios from 19 to 94 experimentally and 18 to 100 theoretically. In support of this research, operators were surveyed regarding the expected dent shapes and failures that had occurred as a result of pipeline dents. The experimental portion of the work involved pipes (one 24" and several 12" NPS pipes) with controlled dents which were combined with

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Wilmott, Martyn, and Weixing Chen. PR-261-9710-R01 Assessment of the Aggressiveness of Various Type of Soil Towards Low PH SCC. Pipeline Research Council International, Inc. (PRCI), 1998. http://dx.doi.org/10.55274/r0012137.

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Environmental cracking processes are caused by the synergistic interaction of a corrosive environment and applied service stress (mechanical contribution) with a susceptible pipeline material. Stress corrosion cracking (SCC) is one form of environmental cracking. Current understanding of the processes associated with SCC suggests that cracks proceed through a continuum of events leading to final failure. In the "life" of a crack, cracks initiate, proceed through a period of growth, link with other cracks to produce a critical defect size that can then cause the failure of the pipeline. The rel

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Pretorius, Christo. EU Employment Law and the AI Act: A Policy Brief Putting the Human Back in ‘Human-Centric’ Policy. European Center for Populism Studies (ECPS), 2024. http://dx.doi.org/10.55271/pop0002.

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This policy paper analyzes the European Union’s (EU) AI Act, aimed at regulating Artificial Intelligence (AI) through four risk classifications related to data protection, privacy, security, and fundamental rights. While the Act establishes regulatory frameworks, it neglects employment security, a critical factor behind public mistrust of AI. The paper warns that failure to address this issue could deepen socio-economic inequalities and lead to political unrest. Recommendations include promoting collective negotiation between workers and employers, advocating for legislation on redundancies li

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Panta, Manisha, Md Tamjidul Hoque, Kendall Niles, Joe Tom, Mahdi Abdelguerfi, and Maik Flanagin. Deep learning approach for accurate segmentation of sand boils in levee systems. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49460.

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Sand boils can contribute to the liquefaction of a portion of the levee, leading to levee failure. Accurately detecting and segmenting sand boils is crucial for effectively monitoring and maintaining levee systems. This paper presents SandBoilNet, a fully convolutional neural network with skip connections designed for accurate pixel-level classification or semantic segmentation of sand boils from images in levee systems. In this study, we explore the use of transfer learning for fast training and detecting sand boils through semantic segmentation. By utilizing a pretrained CNN model with ResNe

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Zimmerman, Ephraim, and Staphanie Perles. Vegetation monitoring in relation to white-tailed deer browsing in First State National Historical Park: 2021 summary report. National Park Service, 2023. http://dx.doi.org/10.36967/2299655.

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Baseline information on canopy regeneration and plant community composition is needed in order to better understand white-tailed deer browsing impacts at First State National Historical Park (FRST). In 2021, the Pennsylvania Natural Heritage Program (PNHP) established 20 permanent vegetation monitoring plots following methods developed by the NPS Eastern Rivers and Mountains Network (ERMN) to assess and monitor trends in vegetation (Perles et al. 2014b; Perles et al. 2017). These protocols provided an efficient method of assessing the current status of native and non-native vegetation and deer

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BEHAVIOR INSIGHTS AND PLASTIC DESIGN CONSIDERATIONS OF SSTF SYSTEMS BASED ON DETAILED FINITE ELEMENT ANALYSES OF A PROPOSED SUB-STRUCTURE. The Hong Kong Institute of Steel Construction, 2024. http://dx.doi.org/10.18057/ijasc.2024.20.2.4.

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The steel staggered truss framing (SSTF) system has been increasingly utilized due to its large column-free spaces, high construction efficiency, and favorable economic benefits. Despite its advantages, the SSTF system has yet to be incorporated in mainstream seismic design codes and is predominantly applied in low-seismic regions. The primary obstacle hindering the wider application of the SSTF system is the limited understanding of its inelastic behaviors, particularly in regard to diaphragm actions. This study firstly introduces an SSTF sub-structure that precisely reflects the diaphragm ac

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