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Relevant bibliographies by topics / Multiple simultaneous fault conditions

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Academic literature on the topic 'Multiple simultaneous fault conditions'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Multiple simultaneous fault conditions"

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Villarreal López, Edwin. "A new scheme for multiple fault detection and isolation for rotational mechatronic systems through analytical redundancy and adaptive filtering." DYNA 86, no. 209 (2019): 40–48. http://dx.doi.org/10.15446/dyna.v86n209.73363.

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Although Fault Detection and Isolation systems have been widely studied in recent years, it is still a very active research field due to its relevance in industrial production systems. In this paper, a new approach for multiple fault detection by using residual evaluation is proposed. First, an analytical redundancy scheme for residual generation is applied using nonlinear autoregressive networks with exogenousinputs for normal and faulty conditions. Simultaneous fault data is included in the training set in order to ensure multiple fault detection.Then, an adaptive filter considering statisti

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Boahen, Samuel, Kwesi Mensah, Yujin Nam, and Jong Min Choi. "Fault Detection Methodology for Secondary Fluid Flow Rate in a Heat Pump Unit." Energies 13, no. 11 (2020): 2974. http://dx.doi.org/10.3390/en13112974.

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Fault detection and diagnosis (FDD) has become an important subject in heat pumps due to its potential for energy savings. However, research on multiple faults occurring at the secondary fluid side of heat pumps is rare in the open literature. This study experimentally examined single secondary fluid flow rate faults (SSFF) and multiple-simultaneous secondary fluid flow rate faults (MSSFF) and their effects on the performance of a heat pump unit, which is a core component of ground source heat pump systems, and proposed FDD methodology to detect these faults. The secondary fluid flow rate faul

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Jiang, Pengcheng, Hua Cong, Jing Wang, and Dongsheng Zhang. "Fault Diagnosis of Gearbox in Multiple Conditions Based on Fine-Grained Classification CNN Algorithm." Shock and Vibration 2020 (June 20, 2020): 1–15. http://dx.doi.org/10.1155/2020/9238908.

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The use of the convolutional neural network for fault diagnosis has been a common method of research in recent years. Since this method can automatically extract fault features, it has played a good role in some research studies. However, this method has a clear drawback that the signals will be significantly affected by working conditions and sample size, and it is difficult to improve diagnostic accuracy by directly learning faults, regardless of working conditions. It is therefore a research orientation worthy of a diagnosis of high precision defect in various working conditions. In this ar

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Dineva, Adrienn, Amir Mosavi, Mate Gyimesi, Istvan Vajda, Narjes Nabipour, and Timon Rabczuk. "Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification." Applied Sciences 9, no. 23 (2019): 5086. http://dx.doi.org/10.3390/app9235086.

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Fault Detection and Diagnosis of electrical machine and drive systems are of utmost importance in modern industrial automation. The widespread use of Machine Learning techniques has made it possible to replace traditional motor fault detection techniques with more efficient solutions that are capable of early fault recognition by using large amounts of sensory data. However, the detection of concurrent failures is still a challenge in the presence of disturbing noises or when the multiple faults cause overlapping features. Multi-label classification has recently gained popularity in various ap

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Cooke, Michele L., Kevin Toeneboehn, and Jennifer L. Hatch. "Onset of slip partitioning under oblique convergence within scaled physical experiments." Geosphere 16, no. 3 (2020): 875–89. http://dx.doi.org/10.1130/ges02179.1.

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Abstract Oblique convergent margins host slip-partitioned faults with simultaneously active strike-slip and reverse faults. Such systems defy energetic considerations that a single oblique-slip fault accommodates deformation more efficiently than multiple faults. To investigate the development of slip partitioning, we record deformation throughout scaled experiments of wet kaolin over a low-convergence (&lt;30°), obliquely slipping basal dislocation. The presence of a precut vertical weakness in the wet kaolin impacts the morphology of faults but is not required for slip partitioning. The

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El-Mongy, Heba H., and Younes K. Younes. "Vibration analysis of a multi-fault transient rotor passing through sub-critical resonances." Journal of Vibration and Control 24, no. 14 (2017): 2986–3009. http://dx.doi.org/10.1177/1077546317697828.

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Various faults may simultaneously occur in a rotor dynamic system. It is crucial to detect and monitor these faults to ensure the safe operation of machinery. Usually, vibration response is utilized for fault diagnosis; however, the identification process becomes more challenging when multiple faults exhibit similar symptoms in the vibration response. In this paper, the vibrational transient response of a cracked rotor is analyzed in the presence of unbalance and coupling misalignment. The study focuses on investigating the possibility, advantages and limitations of using the sub-critical star

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Caseiro, Luís, and André Mendes. "Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control." Energies 14, no. 8 (2021): 2210. http://dx.doi.org/10.3390/en14082210.

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Fault-tolerance is critical in power electronics, especially in Uninterruptible Power Supplies, given their role in protecting critical loads. Hence, it is crucial to develop fault-tolerant techniques to improve the resilience of these systems. This paper proposes a non-redundant fault-tolerant double conversion uninterruptible power supply based on 3-level converters. The proposed solution can correct open-circuit faults in all semiconductors (IGBTs and diodes) of all converters of the system (including the DC-DC converter), ensuring full-rated post-fault operation. This technique leverages t

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Hasan, Md Junayed, Muhammad Sohaib, and Jong-Myon Kim. "A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions." Sensors 20, no. 24 (2020): 7205. http://dx.doi.org/10.3390/s20247205.

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Rolling element bearings are a vital part of rotating machines and their sudden failure can result in huge economic losses as well as physical causalities. Popular bearing fault diagnosis techniques include statistical feature analysis of time, frequency, or time-frequency domain data. These engineered features are susceptible to variations under inconsistent machine operation due to the non-stationary, non-linear, and complex nature of the recorded vibration signals. To address these issues, numerous deep learning-based frameworks have been proposed in the literature. However, the logical rea

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Yao, Xiuming, Nuandi Zhang, and Ju H. Park. "Composite hierarchical control for Markovian jump systems with multiple disturbances and time-varying fault." Transactions of the Institute of Measurement and Control 41, no. 7 (2018): 1948–56. http://dx.doi.org/10.1177/0142331218790784.

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We investigate a robust fault-tolerant control problem for continuous-time Markovian jump systems with an actuator fault and multiple disturbances (one is norm-bounded, whereas the other can be modelled by an exogenous system). Our aim is to construct, simultaneously, a model-dependent disturbance observer for modelling the disturbance estimate and a model-dependent fault diagnosis observer for the time-varying fault estimate and then propose a composite hierarchical control scheme by integrating the fault and disturbance estimates using a state feedback control strategy. Application of the [F

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Yang, Bingru, Qi Li, Liang Chen, Changqing Shen, and Sundararajan Natarajan. "Bearing Fault Diagnosis Based on Multilayer Domain Adaptation." Shock and Vibration 2020 (September 29, 2020): 1–11. http://dx.doi.org/10.1155/2020/8873960.

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Bearing fault diagnosis plays a vitally important role in practical industrial scenarios. Deep learning-based fault diagnosis methods are usually performed on the hypothesis that the training set and test set obey the same probability distribution, which is hard to satisfy under the actual working conditions. This paper proposes a novel multilayer domain adaptation (MLDA) method, which can diagnose the compound fault and single fault of multiple sizes simultaneously. A special designed residual network for the fault diagnosis task is pretrained to extract domain-invariant features. The multike

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Dissertations / Theses on the topic "Multiple simultaneous fault conditions"

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Van, der Merwe Nicolaas Theodor. "The application of signal processing and artificial intelligence techniques in the condition monitoring of rotating machinery / Nicolaas Theodor van der Merwe." Thesis, North-West University, 2003. http://hdl.handle.net/10394/68.

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Condition monitoring of critical machinery has many economic benefits. The primary objective is to detect faults, for example on rolling element bearings, at an early stage to take corrective action prior to the catastrophic failure of a component. In this context, it is important to be able to discriminate between stable and deteriorating fault conditions. A number of conventional vibration analysis techniques exist by which certain faults in rotating machinery may be identified. However, under circumstances involving multiple fault conditions conventional condition monitoring techniques may

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Shehaj, Marinela. "Robust dimensioning of wireless optical networks with multiple partial link failures." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2540.

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Cette thèse résume le travail que j’ai effectué dans le domaine de l'optimisation des réseaux optiques sans fil. Plus spécifiquement, l'objectif principal de ce travail est de proposer des algorithmes efficaces de dimensionnement de réseau pour assurer la satisfaction du trafic dans un réseau qui subit des pannes partielles de liens (par exemple lorsque certains liens et/ou nœuds sont opérationnels avec une capacité réduite) causés principalement par les conditions météorologiques. Le critère principal pour déterminer l'efficacité des algorithmes proposés est le coût de dimensionnement du rése

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Σακελλαρίου, Ιωάννης. "Εξωτερικά-εξαρτώμενα στοχαστικά συναρτησιακά μοντέλα : μέθοδοι εκτίμησης & εφαρμογή στη διάγνωση βλαβών". 2006. http://nemertes.lis.upatras.gr/jspui/handle/10889/281.

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Ο στόχος της παρούσας διατριβής είναι η ανάπτυξη μιας νέας κλάσης εξωτερικά εξαρτώμενων στοχαστικών συναρτησιακών μοντέλων για την αναγνώριση (identification) δυναμικών συστημάτων που παρουσιάζουν πολλαπλά σημεία λειτουργίας, τα οποία καθορίζονται από μετρήσιμη εξωτερική μεταβλητή (όπως για παράδειγμα, η θερμοκρασία, η υγρασία, κ.λ.π.). Επιπλέον, στόχος είναι η ανάπτυξη καινοτόμου μεθοδολογίας διάγνωσης (ανίχνευσης, προσδιορισμού και εκτίμησης) βλαβών σε δυναμικά συστήματα βάσει των στοχαστικών συναρτησιακών μοντέλων. Η διατριβή αρχικά πραγματεύεται την ανάπτυξη κατάλληλης μεθοδολογίας που αντ

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Book chapters on the topic "Multiple simultaneous fault conditions"

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Ge, Yang, Lanzhong Guo, and Yan Dou. "A Fault Diagnosis Method Based on Mathematical Morphology for Bearing Under Multiple Load Conditions." In Advanced Manufacturing and Automation VIII. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2375-1_3.

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Endo, Sho, Naofumi Homma, Yu-ichi Hayashi, Junko Takahashi, Hitoshi Fuji, and Takafumi Aoki. "A Multiple-Fault Injection Attack by Adaptive Timing Control Under Black-Box Conditions and a Countermeasure." In Constructive Side-Channel Analysis and Secure Design. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10175-0_15.

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Bozzano, Marco, Alessandro Cimatti, Anthony Fernandes Pires, Alberto Griggio, Martin Jonáš, and Greg Kimberly. "Efficient SMT-Based Analysis of Failure Propagation." In Computer Aided Verification. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81688-9_10.

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AbstractThe process of developing civil aircraft and their related systems includes multiple phases of Preliminary Safety Assessment (PSA). An objective of PSA is to link the classification of failure conditions and effects (produced in the functional hazard analysis phases) to appropriate safety requirements for elements in the aircraft architecture. A complete and correct preliminary safety assessment phase avoids potentially costly revisions to the design late in the design process. Hence, automated ways to support PSA are an important challenge in modern aircraft design. A modern approach to conducting PSAs is via the use of abstract propagation models, that are basically hyper-graphs where arcs model the dependency among components, e.g. how the degradation of one component may lead to the degraded or failed operation of another. Such models are used for computing failure propagations: the fault of a component may have multiple ramifications within the system, causing the malfunction of several interconnected components. A central aspect of this problem is that of identifying the minimal fault combinations, also referred to as minimal cut sets, that cause overall failures.In this paper we propose an expressive framework to model failure propagation, catering for multiple levels of degradation as well as cyclic and nondeterministic dependencies. We define a formal sequential semantics, and present an efficient SMT-based method for the analysis of failure propagation, able to enumerate cut sets that are minimal with respect to the order between levels of degradation. In contrast with the state of the art, the proposed approach is provably more expressive, and dramatically outperforms other systems when a comparison is possible.

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Bachschmid, N., P. Pennacchi, and A. Vania. "Experimental Results in Simultaneous Identification of Multiple Faults in Rotor Systems." In Condition Monitoring and Diagnostic Engineering Management. Elsevier, 2001. http://dx.doi.org/10.1016/b978-008044036-1/50079-2.

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Tzafestas, S. G., and P. J. Dalianis. "Multiple Simultaneous Fault Diagnosis of Complex Mechanical Systems Based on Shallow Knowledge." In Knowledge-Based Systems. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/9789812819918_0014.

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Smyth, Padhraic. "Detecting novel fault conditions with hidden Markov models and neural networks." In Pattern Recognition in Practice IV - Multiple Paradigms, Comparative Studies and Hybrid Systems. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-81892-8.50050-x.

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Hoffman, A. J., N. T. van der Merwe, P. S. Heyns, C. Scheffer, and C. Stander. "The Application of Neural Networks to Vibrational Diagnostics for Multiple Fault Conditions." In Condition Monitoring and Diagnostic Engineering Management. Elsevier, 2001. http://dx.doi.org/10.1016/b978-008044036-1/50063-9.

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Chen, Zizhong. "Scalable Fault Tolerance for Large-Scale Parallel and Distributed Computing." In Handbook of Research on Scalable Computing Technologies. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-661-7.ch033.

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Today’s long running scientific applications typically tolerate failures by checkpoint/restart in which all process states of an application are saved into stable storage periodically. However, as the number of processors in a system increases, the amount of data that need to be saved into stable storage also increases linearly. Therefore, the classical checkpoint/restart approach has a potential scalability problem for large parallel systems. In this chapter, we introduce some scalable techniques to tolerate a small number of process failures in large parallel and distributed computing. We present several encoding strategies for diskless checkpointing to improve the scalability of the technique. We introduce the algorithm-based checkpoint-free fault tolerance technique to tolerate fail-stop failures without checkpoint or rollback recovery. Coding approaches and floating-point erasure correcting codes are also introduced to help applications to survive multiple simultaneous process failures. The introduced techniques are scalable in the sense that the overhead to survive k failures in p processes does not increase as the number of processes p increases. Experimental results demonstrate that the introduced techniques are highly scalable.

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Netto, Marco A. S., and Rajkumar Buyya. "Resource Co-Allocation in Grid Computing Environments." In Grid and Cloud Computing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch105.

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One of the promises of Grid Computing is to enable the execution of applications across multiple sites. Several multi-site applications require simultaneous access to resources hosted on autonomous domains; this problem is known as resource co-allocation. Projects working on resource co-allocation face four major problems: distributed transactions, fault tolerance, inter-site network overhead, and schedule optimization. Although resource co-allocation is fundamental for Grid Computing, no survey has covered the current projects, solutions, and open challenges on this topic. Therefore, in this chapter, the authors describe the challenges on resource co-allocation, present the projects developed over the last decade, and classify them according to their similar characteristics. In addition, the authors discuss open research issues and trends such as negotiation, advance reservations, and rescheduling of multi-site applications.

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Netto, Marco A. S., and Rajkumar Buyya. "Resource Co-Allocation in Grid Computing Environments." In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-686-5.ch020.

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One of the promises of Grid Computing is to enable the execution of applications across multiple sites. Several multi-site applications require simultaneous access to resources hosted on autonomous domains; this problem is known as resource co-allocation. Projects working on resource co-allocation face four major problems: distributed transactions, fault tolerance, inter-site network overhead, and schedule optimization. Although resource co-allocation is fundamental for Grid Computing, no survey has covered the current projects, solutions, and open challenges on this topic. Therefore, in this chapter, the authors describe the challenges on resource co-allocation, present the projects developed over the last decade, and classify them according to their similar characteristics. In addition, the authors discuss open research issues and trends such as negotiation, advance reservations, and rescheduling of multi-site applications.

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Conference papers on the topic "Multiple simultaneous fault conditions"

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Farber, Jacob A., and Daniel G. Cole. "Using Multiple-Model Adaptive Estimation and System Identification for Fault Detection in Nuclear Power Plants." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87616.

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One challenge in nuclear power plant operation is the detection and identification of system faults and plant transients. Timely and accurate identification will reduce operational costs and increase plant safety. This paper describes a combined model-based and data-driven approach to identifying faults in nuclear power plants. Faults are detected for a GSES Generic Pressurized Water Reactor simulator using the multiple-model adaptive estimation (MMAE) technique. In this technique, multiple input-output system models are used that represent different operating conditions. The models predict se

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Piacentino, Antonio, and Miriam Talamo. "Setup of Virtual Experiments and Critical Analysis of Conventional Thermoeconomic Diagnosis of Multiple Faults in Air-Condensed Rooftop Systems." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82285.

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The diagnosis of soft faults in vapor compression cooling systems is a crucial activity, since malfunctions may provoke heavy degradation in plant performance and increase the power consumption for space cooling. Among the various Faults Detection and Diagnosis techniques developed over the last two decades, thermoeconomic diagnosis has been playing only a marginal role due to the difficulties encountered when applying the conventional thermoeconomic approaches to vapor compression refrigeration plants. In this paper a critical analysis on capabilities and limits of thermoeconomic diagnosis of

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Zhang, Siyu, R. Ganesan, and T. S. Sankar. "A New Approach to Machinery Monitoring and Diagnostics Using Self-Organizing Maps." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0533.

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Abstract The problem of estimating an unknown multivariate function from on-line vibration measurements, for determining the conditions of a machine system and for estimating its service life is considered. This problem is formulated into a multiple-index based trend analysis problem and the corresponding indices for trend analysis are extracted from the on-line vibration data. Selection of these indices is based on the simultaneous consideration of commonly-observed faults or malfunctions in the machine system being monitored. A neural network algorithm that has been developed by the present

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Lee, Seungchul, Lin Li, and Jun Ni. "Adaptive Anomaly Detection Using a Hidden Markov Model." In ASME 2010 International Manufacturing Science and Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/msec2010-34169.

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Online condition monitoring and diagnosis systems are very important in the modern manufacturing industry. We present a new method to assess the degradation processes of multiple failure modes using the Hidden Markov Model (HMM). The HMM is combined with statistical process control (SPC) to detect the occurrence of unknown faults. This method allows an HMM to adjust and update the state space with the identification of new states. Hence, the online degradation assessment and adaptive fault diagnosis can be simultaneously obtained. The turning process are used to illustrate that previously unkn

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Rajagopal, Ram, XuanLong Nguyen, Sinem Coleri Ergen, and Pravin Varaiya. "Distributed Online Simultaneous Fault Detection for Multiple Sensors." In 2008 7th International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 2008. http://dx.doi.org/10.1109/ipsn.2008.41.

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Issury, Irwin, and David Henry. "A methodology for multiple and simultaneous fault isolation." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074784.

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Joshi, Shalmali, Oluwasanmi Koyejo, and Joydeep Ghosh. "Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data." In 2015 International Conference on Healthcare Informatics (ICHI). IEEE, 2015. http://dx.doi.org/10.1109/ichi.2015.87.

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Joshi, Shalmali, Oluwasanmi Koyejo, Kristine Resurreccion, and Joydeep Ghosh. "Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes." In 2015 International Conference on Healthcare Informatics (ICHI). IEEE, 2015. http://dx.doi.org/10.1109/ichi.2015.36.

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Klein, Joseph. "Performance of Simple and Complex Computerized Learning Tasks: Division of Attention vs. Division of Labor." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3296.

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The need to divide attention in order to deal with information flowing in from a number of sources is observable in many work settings. Although most people can perform several simple activities concurrently, such as eating and watching television (Sharon, 1997), making simultaneous decisions is difficult (Pashler & Johnston, 1998). For the majority, task overload causes errors in performance (Girard, 2007), a decline in the quality of treatment (Ruthruff et al., 2001), and longer reaction time (Levy et al., 2006). The few who cope efficiently under such circumstances employ different cogn

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Duchenne, S., R. de Loubens, M. Petitfrere, and T. Joubert. "Modeling and Simultaneous History-Matching of Multiple WAG Coreflood Experiments at Reservoir Conditions." In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/177531-ms.

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