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Structural Prognostics and Health Management in Power & Energy Systems

Authors: --- --- --- --- et al.
ISBN: 9783039217663 9783039217670 Year: Pages: 218 DOI: 10.3390/books978-3-03921-767-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2020-01-30 16:39:46
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Abstract

The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Keywords

prognostics --- residual useful life --- similarity-based approach --- supporting vector machine (SVM) --- reliability --- non-probabilistic reliability index --- sensitivity analysis --- techno-economic assessments --- life cycle cost --- vibration transmission mechanism --- underground powerhouse --- lateral-river vibration --- low frequency tail fluctuation --- rotation of hydraulic generator --- vertical axis wind turbine --- structural health monitoring --- operational modal analysis --- stochastic subspace identification --- vibration test --- offshore structures --- oil and gas platforms --- offshore wind turbines --- retrofitting activities --- renewable energy --- dynamic analysis --- wind and wave analysis --- dynamic analysis of the structure --- wave–structure interaction (WSI) --- probabilistic analyses of stochastic processes and frequency --- data-driven --- machine learning --- deep learning --- DNN --- prognostic and Health Management --- lithium-ion battery --- wind turbines --- health monitoring --- fault detection --- optimized deep belief networks --- supervisory control and data acquisition system --- multioperation condition --- wind turbine blade --- full-scale static test --- neural networks --- strain prediction --- dynamic fuzzy reliability analysis --- extremum surface response method --- weighted regression --- turbine blisk --- fuzzy safety criterion --- lithium-ion battery --- remaining useful life --- regeneration phenomenon --- wavelet decomposition --- NAR neural network --- empirical mode decomposition --- analysis mode decomposition --- analysis-empirical mode decomposition --- mode mixing --- sifting stop criterion

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Authors: --- ---
ISBN: 9783039211425 9783039211432 Year: Pages: 394 DOI: 10.3390/books978-3-03921-143-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Keywords

port scheduling --- berth-quay crane joint scheduling --- optimization study --- hybrid mathematical model --- multi-objective decision-making (MODM) --- sustainability --- vibration suppression --- single-cylinder engine --- multi-objective evolutionary algorithms --- dynamic analysis --- crank–slider --- ecological building --- clay blocks --- compacted clay --- straw bales --- cost calculation --- group decision making --- hesitant fuzzy set --- hospital evaluation --- linguistic hesitant fuzzy set and Standard variance --- bi-objective optimization --- heuristics --- discrete time/cost trade-off --- project scheduling --- Rough Hamy aggregator --- sustainable traffic --- Rough BWM --- Rough WASPAS --- construction --- roundabout --- optimization --- genetic algorithm --- artificial neural network --- apple --- drying --- rehydration --- renewable energy --- technology selection problem --- sustainable energy evaluation --- sustainable energy developments --- sustainable developments --- hierarchical SWARA --- MULTIMOORA --- multiple criteria decision making (MCDM) --- Multiple Attribute Decision Making (MADM) --- ranking --- healthcare facility --- location-allocation problem --- multiple objective optimization --- bi-level programming --- particle swarm optimization (PSO) --- cleaner production (CP) --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- probabilistic linguistic term sets (PLTSs) --- hybrid multi-criteria decision making (MCDM) --- gold mines --- conceptual framework --- organizations --- sustainability --- sustainability hierarchy --- Total Interpretive Structural Modeling (TISM) --- sustainable transport --- public transport --- emission of pollutants --- travel times --- bus pass --- MCDM --- critical information infrastructures --- fuzzy --- AHP --- WSM --- WASPAS --- MCDM --- hybrid --- management --- grey --- SWARA --- TOPSIS-GM --- ARAS-G --- Geomean --- energy efficiency --- comfort of use of buildings --- historic buildings --- sustainable development --- surface transport --- innovation in transport --- policy measures --- sustainable transport policy --- multiple criteria decision aid --- hybrid expert system --- bat algorithm --- particle swarm optimization algorithm --- multi-purpose system --- water resource management --- project --- construction --- contractor --- multiple-criteria decision-making --- AHP --- sustainable solution --- choice --- expert --- building investment project --- risk --- assessment --- verbal analysis --- multiple-attribute decision-making (MADM) --- multi-objective decision-making (MODM) --- optimization --- engineering --- management --- sustainable development

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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english (2)


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2020 (1)

2019 (1)