04313nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001600172072001700188072002300205072001600228245023900244250001800483264007200501300006900573336002600642337002600668338003600694347002400730490005600754505129500810520076702105650002902872650002202901650003202923650003602955650003402991650004403025650004903069650006103118650006103179700008803240700008303328700008103411710003403492773002603526776003603552776003603588830005603624856004603680912001403726912001403740999001703754978-981-97-3087-2DE-He21320251030112247.0cr nn 008mamaa240531s2024    si |    s    |||| 0|eng d  a97898197308729978-981-97-3087-27 a10.1007/978-981-97-3087-22doi 4aTH9701-9745 7aTNKS2bicssc 7aSCI0550002bisacsh 7aTNKS2thema10aAdvances in Risk and Reliability Modelling and Assessmenth[electronic resource] :bProceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) /cedited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVIII, 895 p. 407 illus., 339 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Mechanical Engineering,x2195-43640 aA Support Vector Machine Model for Detection of Transients in Nuclear Reactor -- Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimization -- Role of Ai in Anti-drone Systems: A Review -- Transient Identification in Nuclear Power Plants by Pca Based Neural Networks -- Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-lstm Neural Network -- Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian Npp Sites -- Development of Kalman Filter Based Source Term Estimation Model (Stem) -- Evaluation of Internal Fire Hazards in Indian Nuclear Power Plants -- A Novel Implementation of Tableau Software for Visualisation of Seismic Data from Himalayan Region -- Time-frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake -- Prediction of Effective Duration of Vertical Ground Motions Based on Machine Learning Algorithms -- Rul Estimation of Igbt Modules under Power Cycling Stress -- Reliability and Cost-effectiveness Trade-offs in Hierarchical Industrial Networks -- Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-learning Interatomic Potential: An Atomistic Simulation Study -- Performance Evaluation of Silicon Carbide (Sic) Power Mosfets under Gamma Radiation.  aThis book presents the proceedings of the 5th International Conference on Reliability Safety & Hazard-2024, held in Mumbai during February 21–24, 2024. 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 reliability, risk-informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety-critical systems, and risk-based engineering. 0aSecurity systems.966821 0aComputers.965793 0aMathematical models.966910 0aEngineering mathematics.964145 0aEngineeringxData processing.14aSecurity Science and Technology.96682224aHardware Performance and Reliability.97139724aMathematical Modeling and Industrial Mathematics.96691224aMathematical and Computational Engineering Applications.1 aVarde, Prabhakar V.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9693511 aVinod, Gopika.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9779771 aJoshi, N. S.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9779782 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981973086508iPrinted edition:z9789819730889 0aLecture Notes in Mechanical Engineering,x2195-436440uhttps://doi.org/10.1007/978-981-97-3087-2  aZDB-2-PHA  aZDB-2-SXP  c60362d60362