Bibliografías temáticas / Faulty variable isolation

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Literatura académica sobre el tema "Faulty variable isolation"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Faulty variable isolation"

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Asokan, A., and D. Sivakumar. "Model based fault detection and diagnosis using structured residual approach in a multi-input multi-output system." Serbian Journal of Electrical Engineering 4, no. 2 (2007): 133–45. http://dx.doi.org/10.2298/sjee0702133a.

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Fault detection and isolation (FDI) is a task to deduce from observed variable of the system if any component is faulty, to locate the faulty components and also to estimate the fault magnitude present in the system. This paper provides a systematic method of fault diagnosis to detect leak in the three-tank process. The proposed scheme makes use of structured residual approach for detection, isolation and estimation of faults acting on the process [1]. This technique includes residual generation and residual evaluation. A literature review showed that the conventional fault diagnosis methods l
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Sellami, T., H. Berriri, S. Jelassi, A. M. Darcherif, and M. F. Mimouni. "Sliding Mode Observers-based Fault Detection and Isolation for Wind Turbine-driven Induction Generator." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (2017): 1345. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1345-1358.

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Inter-turn short-circuit (ITSC) faults on the induction machine has received much attention in the recent years. Early detection of such faults in wind turbine systems would allow to avoid fluctuation on wind power output and maintain the reliability level. In this paper, Sliding Mode Observers (SMO)-based fault detection and isolation method is developed for induction generator (IG)-based variable-speed grid-connected wind turbines. Firstly, the dynamic model of the wind turbine and IG was given and then, the control was made based on Maximum Power Point Tracking (MPPT) method. The IG closed-
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Zhao, Chunhui, and Wei Wang. "Efficient faulty variable selection and parsimonious reconstruction modelling for fault isolation." Journal of Process Control 38 (February 2016): 31–41. http://dx.doi.org/10.1016/j.jprocont.2015.12.002.

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Antory, D., U. Kruger, G. Irwin, and G. McCullough. "Fault diagnosis in internal combustion engines using non-linear multivariate statistics." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 219, no. 4 (2005): 243–58. http://dx.doi.org/10.1243/095965105x9614.

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This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce non-linear relationships between the recorded engine variables, the paper proposes the use of non-linear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new non-linear variable
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Kariwala, Vinay, Pabara-Ebiere Odiowei, Yi Cao, and Tao Chen. "A branch and bound method for isolation of faulty variables through missing variable analysis." Journal of Process Control 20, no. 10 (2010): 1198–206. http://dx.doi.org/10.1016/j.jprocont.2010.07.007.

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Nie, Lei, Yizhu Ren, Rouhui Wu, and Mengying Tan. "Sensor Fault Diagnosis, Isolation, and Accommodation for Heating, Ventilating, and Air Conditioning Systems Based on Soft Sensor." Actuators 12, no. 10 (2023): 389. http://dx.doi.org/10.3390/act12100389.

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Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from unscheduled maintenance or abnormal shutdown due to the fault of their interior sensor system. Traditional fault diagnosis methods for HVAC sensor systems primarily focus on sensor fault diagnosis and isolation, lacking fault accommodation. Therefore, to realize effective sensor fault detection, identification, and accommodation (SFDIA), a method for HVAC SFDIA based on the soft sensor is proposed. First, a diagnosis soft sensor with multi-variable input is constructed to estimate the output of the physical sensor bein
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Hu, Yunyun, Yue Wang, and Chunhui Zhao. "A sparse fault degradation oriented fisher discriminant analysis (FDFDA) algorithm for faulty variable isolation and its industrial application." Control Engineering Practice 90 (September 2019): 311–20. http://dx.doi.org/10.1016/j.conengprac.2019.07.007.

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Sorribes Pamer, Felix, Bernd Luber, Josef Fuchs, Thomas Kern, and Martin Rosenberger. "Data-driven fault diagnosis of bogie suspension components with on- board acoustic sensors." PHM Society European Conference 5, no. 1 (2020): 13. http://dx.doi.org/10.36001/phme.2020.v5i1.1211.

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This paper proposes a data-driven approach for fault-detection and isolation of bogie suspension components with on-board acoustic sensors. The fault detection technique is based on the acoustic emissions variation due to structural modal coupling changes in the presence of faulty components. A suspensions component failure introduces an imbalance into the system, resulting in dynamics interferences between the motions. These interferences modify the energy introduced into the system as well as its acoustic emissions. The unknown arbitrary track irregularities generate together with a variable
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Abbas, Mohammed, Houcine Chafouk, and Sid Ahmed El Mehdi Ardjoun. "Fault Diagnosis in Wind Turbine Current Sensors: Detecting Single and Multiple Faults with the Extended Kalman Filter Bank Approach." Sensors 24, no. 3 (2024): 728. http://dx.doi.org/10.3390/s24030728.

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Currently, in modern wind farms, the doubly fed induction generator (DFIG) is commonly adopted for its ability to operate at variable wind speeds. Generally, this type of wind turbine is controlled by using two converters, one on the rotor side (RSC) and the other one on the grid side (GSC). However, the control of these two converters depends mainly on current sensors measurements. Nevertheless, in the case of sensor failure, control stability may be compromised, leading to serious malfunctions in the wind turbine system. Therefore, in this article, we will present an innovative diagnostic ap
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Uddin, Md Aftab, Mst Aysha Siddiqua, and Mst Sadia Ahmed. "Isolation and quantification of indicator and pathogenic microorganisms along with their drug resistance traits from bottled and jar water samples within Dhaka city, Bangladesh." Stamford Journal of Microbiology 9, no. 1 (2020): 12–14. http://dx.doi.org/10.3329/sjm.v9i1.45651.

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Commercial drinking water may serve as potential threat to public health if these items are contaminated with a number of pathogenic microorganisms due to faulty manufacturing process. Present study attempted to isolate and quantify the microorganisms from various jar and bottle water samples collected from various areas of Dhaka city. Antibiotic susceptibility pattern of suspected bacterial isolates were also determined in this study. Out of the eighteen samples studied, ten were jar water samples and eight were bottled water samples. The range of total viable bacterial count (TVBC) in these
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Tesis sobre el tema "Faulty variable isolation"

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Yang, Junjie. "Fault Diagnosis and Prognosis in multivariate complex systems." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST001.

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Le diagnostic et le pronostic des défaillances ont suscité une attention considérable dans l'industrie et le monde universitaire en raison des exigences croissantes en matière de fiabilité, de disponibilité, de maintenabilité et de sécurité.Malgré les progrès significatifs, les méthodologies de diagnostic de défauts existantes souffrent toujours de problèmes, tels que le manque de données défectueuses suffisantes pour la formation, l'inefficacité des données distribuées complexes, la faible sensibilité aux défauts naissants et l'interférence du bruit et des valeurs aberrantes.Par conséquent, c
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Mnassri, Baligh. "Analyse de données multivariées et surveillance des processus industriels par analyse en composantes principales." Phd thesis, Aix-Marseille Université, 2012. http://tel.archives-ouvertes.fr/tel-00749282.

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Ce mémoire de thèse présente une étude fondamentale enrichie par des contributions qui sont articulées autour de la modélisation de processus ainsi qu'un diagnostic de défauts en utilisant l'analyse en composantes principales (ACP). <br /> Dans l'objectif d'un choix optimal du modèle ACP, une étude comparative de quelques critères connus dans la littérature nous a permis de conclure que le problème rencontré est souvent lié à une ignorance des variables indépendantes et quasi-indépendantes. Dans ce cadre, nous avons réalisé deux démonstrations mettant en évidence les limitations de deux critèr
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3

Wang, Jian, and 王健. "Experiment and Analysis of Near-Fault Seismic Isolation Using Sliding Bearings with Variable Curvatures." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79018104044579564168.

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碩士<br>國立高雄第一科技大學<br>營建工程所<br>94<br>ABSTRACT Conventional sliding isolation systems (e.g. Friction Pendulum System， FPS)may not be effective when the isolated structures are subjected to near-fault ground motions. The reason is that the isolation periods commonly adopted in conventional sliding isolators are usually in the range of the pulse periods of near-fault earthquakes. As a result, it may lead to a resonant motion that can reduce the effectiveness and safty of isolation. In order to improve the performance of near-fault isolation, an innovative isolator names “Polynomial Friction Pendulu
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Capítulos de libros sobre el tema "Faulty variable isolation"

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Fezai, Radhia, Okba Taouali, Majdi Mansouri, Mohamed Faouzi Harkat, and Nasreddine Bouguila. "Sensor Fault Detection and Isolation Based on Variable Moving Window KPCA." In Studies in Systems, Decision and Control. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1746-4_2.

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Tian, Huifeng, and Li Jia. "Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6373-2_21.

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Liu, Jialin, and Ding-Sou Chen. "Multiple Sensor Fault Isolation Using Contribution Plots without Smearing Effect to Non-Faulty Variables." In Computer Aided Chemical Engineering. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-444-59506-5.50134-6.

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Actas de conferencias sobre el tema "Faulty variable isolation"

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Hilleary, Jamey, and Jerry DeWitt. "Continuous Verification Monitoring at AC Mitigation Stations." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11310.

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Abstract The introduction of high performance, fusion bond coatings provide pipeline structures with excellent isolative characteristics. These high performance coatings are of great benefit to the industry as they increase the efficiency and performance of the cathodic protection systems. However, when pipelines are collocated along high voltage AC power transmission lines, the high dielectric effect of fusion bond coatings may have a detrimental effect resulting in induced AC voltage. These induced voltages may create safety hazards to operating personnel and the general public and are known
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2

Yu, Jungwon, Jonggeun Kim, Hansoo Lee, Seunghwan Jung, June Ho Park, and Sungshin Kim. "Application of CART-Based Variable Ranking for Faulty Variable Isolation in Tennessee Eastman Benchmark Process." In 2019 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2019. http://dx.doi.org/10.1109/icit.2019.8755167.

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Tang, Liang, Allan J. Volponi, and Ethan Prihar. "Extending Engine Gas Path Analysis Using Full Flight Data." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90161.

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Abstract The ability to trend engine module performance and provide engine system fault detection and isolation are arguably, core capabilities for any engine Condition Based Maintenance (CBM) system. The origins of on-condition monitoring can be traced back nearly four decades, and a methodology known as Gas Path Analysis (GPA) has played a pivotal role in its evolution. Legacy Gas Path Analysis is a general methodology that assesses and quantifies changes in the underlying performance of the major modules of the engine (compressors and turbines), which in turn, directly affect overall perfor
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Koh, Christopher K. H., Jianjun Shi, William J. Williams, and Jun Ni. "Detection and Isolation of Faults in the Stamping Process." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0833.

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Abstract The sheet metal drawing operation is a complex manufacturing process involving more than forty process variables. A fault is said to occur when any of these process variables deviate beyond their specified limits. Current detection schemes based on this principle have exceptionally high false alarms rates. They are also unable to detect frequency or phase shifted fault signals whose amplitudes remain within specifications; nor do they provide information about the multiplicity1 or location2 of the faults. A method of overcoming these limitations is proposed in this paper. It is based
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DePold, Hans R., Ravi Rajamani, William H. Morrison, and Krishna R. Pattipati. "A Unified Metric for Fault Detection and Isolation in Engines." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-91095.

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In this paper we make two key contributions. First, we formalize the effectiveness of fault detection and isolation (FDI) with a metric that globally considers the following: variance in engine parameter estimate residuals under normal conditions, costs of missed detections and false alarms, costs associated with misclassification of faults, fault frequencies and fault severities. Reducing the error variance increases the signal-to-noise ratio, thereby increasing the reliability and speed of fault-detection algorithms. Minimizing missed detections has enormous implications on operational safet
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Tsai, C. S., Tsu-Cheng Chiang, and Bo-Jen Chen. "Finite Element Formulations and Theoretical Study for VCFPS." In ASME 2003 Pressure Vessels and Piping Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/pvp2003-2117.

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The friction pendulum system (FPS), a type of base isolation technology, has been recognized as a very efficient tool for controlling the seismic response of a structure during an earthquake. However, previous studies have focused mainly on the seismic behavior of base-isolated structures far from active earthquake faults. In recent years, there have been significant studies on the efficiency of the base isolator when subjected to near-fault ground motions. It is suggested from these studies that the long-duration pulse of near-fault ground motions results in significant response of a base-iso
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Ganguli, Ranjan, Rajeev Verma, and Niranjan Roy. "Soft Computing Application for Gas Path Fault Isolation." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53209.

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A fuzzy system that automatically develops its rule base from a linearized performance model of the engine by selecting the membership functions and number of fuzzy sets is developed in this study to perform gas turbine fault isolation. The faults modeled are module faults in five modules: fan, low pressure compressor, high pressure compressor, high pressure turbine and low pressure turbine. The measurements used are deviations in exhaust gas temperature, low rotor speed, high rotor speed and fuel flow from a base line ‘good engine’. A genetic algorithm is used to tune the fuzzy sets to maximi
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Borguet, S., and O. Le´onard. "Constrained Sparse Estimation for Improved Fault Isolation." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45711.

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Least-squares-based methods are very popular in the jet engine community for health monitoring purpose. Their isolation capability can be improved by using a prior knowledge on the health parameters that better matches the expected pattern of the solution i.e., a sparse one as accidental faults impact at most one or two component(s) simultaneously. On the other hand, complimentary information about the feasible values of the health parameters can be derived in the form of constraints. The present contribution investigates the effect of the addition of such constraints on the performance of the
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Liu, Jialin, David Shan Hill Wong, and Ding-Sou Chen. "Isolating faulty variables for fault propagation using Bayesian decision theory." In 2013 European Control Conference (ECC). IEEE, 2013. http://dx.doi.org/10.23919/ecc.2013.6669296.

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Loboda, Igor, Juan Luis Pérez-Ruiz, Sergiy Yepifanov, and Roman Zelenskyi. "Comparative Analysis of Two Gas Turbine Diagnosis Approaches." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91644.

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Abstract Gas turbine diagnostics that relies on gas path measurements is a well-developed area with many algorithms developed. They follow two general approaches, data-driven, and physics-based. The first approach uses deviations of monitored variables from their baseline values. A diagnostic decision is traditionally made in the space of these deviations (diagnostic features) by pattern recognition techniques, for example, artificial neural networks. The necessary fault classes can be constructed from deviation vectors (patterns) using the displays of real faults, and the approach has a theor
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