標(biāo)題: Titlebook: Advances in Risk and Reliability Modelling and Assessment; Proceedings of 5th I Prabhakar V. Varde,Gopika Vinod,N. S. Joshi Conference proc [打印本頁(yè)] 作者: affected 時(shí)間: 2025-3-21 16:39
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作者: heirloom 時(shí)間: 2025-3-21 21:35
Gülay Canbalo?lu,Jan Treur,Anna Wiewioraategy, a characteristic that is considered undesirable. The advent?of machine learning presents opportunities for the exploration of innovative methodologies that have the potential to substantially reduce computational time in SMO. This paper proposes a novel Reinforcement Learning (RL) based metho作者: 剝削 時(shí)間: 2025-3-22 04:21
Gülay Canbalo?lu,Jan Treur,Anna Wiewiorad disaster management. However, their widespread usage has also introduced new security challenges, especially to critical installations like nuclear facilities. The potential threats posed by drones, such as unauthorized aerial surveillance, hazardous payload dropping or even collision, raise signi作者: 占卜者 時(shí)間: 2025-3-22 04:46
Studies in Systems, Decision and Controlortant for the operator to quickly identify and initiate corrective actions in order to mitigate the consequences, if any, and also to maintain the safety of the plant. As simultaneous generation of many alarms and annunciations in the control room may alert the operator on the onset of the transien作者: 允許 時(shí)間: 2025-3-22 10:43
https://doi.org/10.1007/978-3-031-28735-0nd performance. It results in the loss of hydraulic pressure which leads to diminished power output. The present manuscript discusses the leakage detection of a hydraulic cylinder utilising pressure signals. For this, pressure signals of a 2-stage hydraulic cylinder for no leakage and leakage condit作者: 詳細(xì)目錄 時(shí)間: 2025-3-22 14:42 作者: Terminal 時(shí)間: 2025-3-22 17:12 作者: 合法 時(shí)間: 2025-3-23 00:20 作者: Repatriate 時(shí)間: 2025-3-23 03:40 作者: 職業(yè) 時(shí)間: 2025-3-23 09:09 作者: 廣告 時(shí)間: 2025-3-23 12:33 作者: GET 時(shí)間: 2025-3-23 17:26 作者: Servile 時(shí)間: 2025-3-23 20:37
Jung Hwan Kim,Amanda Taylor,David RessOur analysis focuses on hierarchical industrial ethernet networks, where nodes are assumed to be perfect, and link failures are primarily attributed to commercial switches and routers. The primary objective of this research is to evaluate the reliability of different network topologies and explore t作者: CRUDE 時(shí)間: 2025-3-24 01:53
Jung Hwan Kim,Amanda Taylor,David Ressand efficiently arrests radiation-induced material degradation. Under the impact of radiation damage, the metallic structural components of the nuclear power plants, like fuel cladding components, Reactor Pressure Vessels (RPV), etc., suffer deterioration in their microstructures and transmutation i作者: dagger 時(shí)間: 2025-3-24 05:37 作者: INTER 時(shí)間: 2025-3-24 07:00 作者: bronchodilator 時(shí)間: 2025-3-24 14:25
Advances in Risk and Reliability Modelling and Assessment978-981-97-3087-2Series ISSN 2195-4356 Series E-ISSN 2195-4364 作者: 描繪 時(shí)間: 2025-3-24 15:41
Prabhakar V. Varde,Gopika Vinod,N. S. JoshiPresents select proceedings of ICRESH 2024.Covers advances in risk and reliability modeling and assessment.Is useful for researchers and professionals作者: modish 時(shí)間: 2025-3-24 21:06 作者: Infraction 時(shí)間: 2025-3-24 23:51
https://doi.org/10.1007/978-981-97-3087-2Safety; Risk; Artificial Intelligence; Safety Critical Systems; Complex Systems; Reliability; Machine Lear作者: licence 時(shí)間: 2025-3-25 04:31 作者: OTHER 時(shí)間: 2025-3-25 07:59
Gülay Canbalo?lu,Jan Treur,Anna Wiewioraifferences between measured and predicted wind data indicated random error. The model performance can be further improved by data assimilation, proper choice of parameterization schemes, using high resolution input data as well as increasing model resolution.作者: 姑姑在炫耀 時(shí)間: 2025-3-25 12:46
Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian NPP Sitesifferences between measured and predicted wind data indicated random error. The model performance can be further improved by data assimilation, proper choice of parameterization schemes, using high resolution input data as well as increasing model resolution.作者: alabaster 時(shí)間: 2025-3-25 18:27 作者: voluble 時(shí)間: 2025-3-25 23:21
Conference proceedings 20244. It covers the latest advances in artificial intelligence and machine learning in development of risk-conscious culture. Various topics covered in this volume are reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system作者: CLAM 時(shí)間: 2025-3-26 02:26 作者: anthropologist 時(shí)間: 2025-3-26 07:11 作者: muster 時(shí)間: 2025-3-26 11:13 作者: Affirm 時(shí)間: 2025-3-26 13:26
Role of?AI in?Anti-drone Systems: A?Reviewd disaster management. However, their widespread usage has also introduced new security challenges, especially to critical installations like nuclear facilities. The potential threats posed by drones, such as unauthorized aerial surveillance, hazardous payload dropping or even collision, raise signi作者: phytochemicals 時(shí)間: 2025-3-26 20:40
Transient Identification in Nuclear Power Plants by PCA Based Neural Networksortant for the operator to quickly identify and initiate corrective actions in order to mitigate the consequences, if any, and also to maintain the safety of the plant. As simultaneous generation of many alarms and annunciations in the control room may alert the operator on the onset of the transien作者: Hypopnea 時(shí)間: 2025-3-26 22:48 作者: savage 時(shí)間: 2025-3-27 02:14 作者: 螢火蟲 時(shí)間: 2025-3-27 06:56 作者: 樣式 時(shí)間: 2025-3-27 11:01
Evaluation of Internal Fire Hazards in Indian Nuclear Power Plantsr safety. However, failure due to common cause such as fire may simultaneously affect the redundant SSCs and their support systems such as air supply, power supply or cooling water supply. All foreseeable internal hazards and external hazards, which may affect the safety of the nuclear power plant d作者: AWE 時(shí)間: 2025-3-27 15:10 作者: Sad570 時(shí)間: 2025-3-27 19:11
Time–Frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquakency domain format, deciphering time information is not possible. Understanding the patterns in the arrival frequencies is essential to estimate damage to structures. Since both the amplitude and frequency of the seismic wave contribute to structural damage, a comprehensive understanding of the possi作者: OWL 時(shí)間: 2025-3-28 00:39 作者: 諂媚于性 時(shí)間: 2025-3-28 05:10 作者: 先兆 時(shí)間: 2025-3-28 07:55
Reliability and Cost-Effectiveness Trade-Offs in Hierarchical Industrial NetworksOur analysis focuses on hierarchical industrial ethernet networks, where nodes are assumed to be perfect, and link failures are primarily attributed to commercial switches and routers. The primary objective of this research is to evaluate the reliability of different network topologies and explore t作者: 懦夫 時(shí)間: 2025-3-28 11:55
Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-Learning Interatand efficiently arrests radiation-induced material degradation. Under the impact of radiation damage, the metallic structural components of the nuclear power plants, like fuel cladding components, Reactor Pressure Vessels (RPV), etc., suffer deterioration in their microstructures and transmutation i作者: cajole 時(shí)間: 2025-3-28 17:59 作者: 偽善 時(shí)間: 2025-3-28 21:06 作者: chronology 時(shí)間: 2025-3-29 00:01 作者: 構(gòu)想 時(shí)間: 2025-3-29 04:43
A Support Vector Machine Model for Detection of Transients in Nuclear Reactorace into classes by using a hyperplane. For data-driven modeling, simulated datasets representing major transients anticipated in a pool type research reactor, including Loss of Coolant and Loss of Flow, are used. Important plant parameters like power, coolant flow & reactor pool level, measured and作者: Hallowed 時(shí)間: 2025-3-29 09:08
Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimizationd on the reward policy. The objective of the maintenance optimization problem is to achieve the desired system mission reliability while consuming minimum resources. The reward function is defined such that the agent will learn and then determine the best strategy considering all the constraints. Th作者: Hdl348 時(shí)間: 2025-3-29 13:28 作者: 嚴(yán)重傷害 時(shí)間: 2025-3-29 19:24 作者: BURSA 時(shí)間: 2025-3-29 22:57
Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-LSTM Neural Networkchieves the validation loss <0.2. The training accuracy of the proposed C-LSTM model is found to be 97.47% whereas test accuracy is ~95%. Thus, C-LSTM has proved to be a robust and reliable methodology for diagnosing internal leakage in hydraulic cylinders.作者: 直覺沒有 時(shí)間: 2025-3-30 02:02 作者: 健談 時(shí)間: 2025-3-30 06:35
Evaluation of Internal Fire Hazards in Indian Nuclear Power Plantsh a way that it reduces the risk of fires. Emphasis is on providing passive and active fire protection. Fire Hazard Analysis (FHA) of the NPPs is carried out by using Fire Containment approach and Fire Influence Approach. Wherever, redundant items important to safety are placed in different fire com作者: chlorosis 時(shí)間: 2025-3-30 11:00
A Novel Implementation of Tableau Software for the Visualisation of Seismic Data from Himalayan Regiystem. The novel implementation using Tableau visualisation aids in understanding and accessing earthquake data in a variety of formats, from pin position to density map of the pins. The results from this tool can be downloaded and accessed in a variety of formats and thus the implementation present作者: outer-ear 時(shí)間: 2025-3-30 13:15
Time–Frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake in the world. Several high magnitudes, destructive earthquakes strike the region at regular intervals. Understanding the sequence of time and frequency in the strong ground motions is essential to mitigate seismic risk to the built environment in the region. In this paper, the strong ground motions作者: Tdd526 時(shí)間: 2025-3-30 18:38 作者: Noctambulant 時(shí)間: 2025-3-30 23:10
RUL Estimation of IGBT Modules Under Power Cycling Stresshe Palmgren–Miner cumulative damage rule is employed to estimate the damage caused by these cycles. Finally, RUL estimation of IGBT modules is demonstrated under power cycling stress using sample power cycling stress data. This research work focuses only one parameter i.e. change in junction tempera作者: Acetaminophen 時(shí)間: 2025-3-31 04:06
Reliability and Cost-Effectiveness Trade-Offs in Hierarchical Industrial Networksrading industrial networks. Our findings reveal that the interconnected dual rings topology exhibits the highest level of reliability among the four studied topologies. However, it also involves higher costs due to the increased number of switches and redundant links. The star topology, on the other作者: 不在灌木叢中 時(shí)間: 2025-3-31 06:22
Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-Learning Interatscale. The reliability of the MD results depends on the critical choice of the interatomic potential files. To mimic the fast collisions of bombarding atoms and Ta–Ta atomic interactions, machine learning (ML) based interatomic potential, Spectral Neighbor Analysis Potential (SNAP) and universal rep作者: Filibuster 時(shí)間: 2025-3-31 12:07 作者: 呼吸 時(shí)間: 2025-3-31 16:24
