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Ein neues Konzept zur Diagnose elektrochemischer Sensoren am Beispiel von pH-Glaselektroden

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Book Series: Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie ISSN: 16145267 ISBN: 9783866447059 Year: Volume: 39 Pages: XXII, 192 p. DOI: 10.5445/KSP/1000023598 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:02:02
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Unternehmen der Prozessindustrie verlangen zunehmend Sensoren mit einer integrierten Diagnosefunktionaliät, die Informationen über den technischen Zustand der eingesetzten Betriebsmittel gibt.Ziel der Arbeit ist es, am Beispiel von pH-Glaselektroden ein neues Konzept zu entwickeln, das es möglich macht, den technischen Zustand von elektrochemischen Sensoren abzubilden.Anhand von Daten aus Laborversuchen sowie aus industriellen Anwendungen wird der Nachweis der Funktionsfähigkeit erbracht.

Intelligent Optimization Modelling in Energy Forecasting

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ISBN: 9783039283644 9783039283651 Year: Pages: 262 DOI: 10.3390/books978-3-03928-365-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2020-04-07 23:07:09
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Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.

Keywords

short-term load forecasting --- weighted k-nearest neighbor (W-K-NN) algorithm --- comparative analysis --- empirical mode decomposition (EMD) --- particle swarm optimization (PSO) algorithm --- intrinsic mode function (IMF) --- support vector regression (SVR) --- short term load forecasting --- crude oil price forecasting --- time series forecasting --- hybrid model --- complementary ensemble empirical mode decomposition (CEEMD) --- sparse Bayesian learning (SBL) --- multi-step wind speed prediction --- Ensemble Empirical Mode Decomposition --- Long Short Term Memory --- General Regression Neural Network --- Brain Storm Optimization --- substation project cost forecasting model --- feature selection --- data inconsistency rate --- modified fruit fly optimization algorithm --- deep convolutional neural network --- multi-objective grey wolf optimizer --- long short-term memory --- fuzzy time series --- LEM2 --- combination forecasting --- wind speed --- electrical power load --- crude oil prices --- time series forecasting --- improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) --- kernel learning --- kernel ridge regression --- differential evolution (DE) --- artificial intelligence techniques --- energy forecasting --- condition-based maintenance --- asset management --- renewable energy consumption --- Gaussian processes regression --- state transition algorithm --- five-year project --- forecasting --- Markov-switching --- Markov-switching GARCH --- energy futures --- commodities --- portfolio management --- active investment --- diversification --- institutional investors --- energy price hedging --- metamodel --- ensemble --- individual --- regression --- interpolation

High Voltage Engineering and Applications

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ISBN: 9783039287161 / 9783039287178 Year: Pages: 304 DOI: 10.3390/books978-3-03928-717-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.

Keywords

space/interface charge --- electrical field strength --- temperature --- oil-paper insulation --- simulation --- bipolar charge transport model --- earthing systems --- electrode’s geometry --- fast-impulses --- high-magnitude currents and impulse polarity --- grounding --- grounding electrodes --- high impulse conditions --- seasonal --- soil resistivity --- partial discharges (PD) --- partial discharge --- calibrator --- Tettex 9520 --- DDX 8003 --- DDX 9121b --- secondary arc --- short-circuit discharge --- numerical modeling --- plasma discharge --- post insulator --- non-uniform pollution between windward and leeward sides --- residual resistance formulation --- flashover dynamic model --- artificial flashover tests --- flashover characteristics --- feature selection --- insulation health index --- machine learning --- oil/paper insulation --- transformer asset management --- thermal effect --- cable --- XLPE --- laying modes --- Comsol Multiphysics --- thermal parameters --- cable ampacity --- partial discharge --- surface discharge --- UHF sensor --- FDTD simulation --- cavity discharge --- partial discharge --- denoising --- RF signal --- wavelet transform --- artificial neural network --- curve fitting --- saline mechanism --- shoreline --- wind speed --- outdoor insulators --- dry band arcing --- flashover --- tracking --- ageing --- hydrophobicity --- leakage current --- dry band arcing --- degradation --- polymeric insulation --- tracking test setup --- composite insulator --- dry band formation --- heat transfer model --- generalized finite difference time domain --- corona discharge --- electric field analysis --- ion flow field --- space charge density --- UFVM --- partial discharge --- optical-UHF integrated detection --- photoelectric fusion pattern --- GIL --- NSCT --- cable joint --- charge simulation method --- electrical tree --- random walk theory --- finite element analysis --- partial discharge modeling --- high-frequency --- fast-rise square wave voltages --- silicone gel --- wide bandgap power modules --- surface discharge --- flashover --- gas --- modelling --- pressure --- thermal properties

Planning, Development and Management of Sustainable Cities

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ISBN: 9783038979067 9783038979074 Year: Pages: 440 DOI: 10.3390/books978-3-03897-907-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-05-09 17:16:14
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The concept of ‘sustainable urban development’ has been pushed to the forefront of policymaking and politics as the world wakes up to the impacts of climate change and the destructive effects of the Anthropocene. Climate change has emerged to be one of the biggest challenges faced by our planet today, threatening both built and natural systems with long-term consequences, which may be irreversible. While there is a vast body of literature on sustainability and sustainable urban development, there is currently limited focus on how to cohesively bring together the vital issues of the planning, development, and management of sustainable cities. Moreover, it has been widely stated that current practices and lifestyles cannot continue if we are to leave a healthy living planet to not only the next generation, but also to the generations beyond. The current global school strikes for climate action (known as Fridays for Future) evidences this. The book advocates the view that the focus needs to rest on ways in which our cities and industries can become green enough to avoid urban ecocide. This book fills a gap in the literature by bringing together issues related to the planning, development, and management of cities and focusing on a triple-bottom-line approach to sustainability.

Keywords

spatial decision support systems --- urban planning --- sustainability indicators --- urban metabolism --- sustainable regional development --- land use governance --- regional stakeholder involvement --- precision farming (PF) --- wood fuel --- technology roadmapping (TRM) --- open innovation (OI) --- Germany --- sustainability assessment --- sustainable urban development --- neighborhood sustainability --- neighborhood sustainability assessment index --- sustainable city --- Ipoh --- Malaysia --- scaling-up strategy --- sustainable development --- local new town --- neoliberal capitalism --- Wujin --- China --- low-energy transport --- carbon --- energy consumption --- sociotechnical transition --- innovation --- cities --- United Kingdom --- sustainability --- tree --- urban forest --- forest values --- urban transport --- sustainable transport --- developing cities --- medium-sized cities --- infrastructure --- transport projects --- sustainability --- knowledge management --- practitioner perceptions --- frames --- framing processes --- low carbon cities --- visioning --- urban resilience --- sustainability --- sustainability literacy --- urban development --- public participation --- urban planning --- civic engagement --- green economy --- built environment sector --- eco-cities --- sustainable urban development --- green innovation --- low carbon economy --- socio-technical transition --- urban fire --- spatio-temporal features --- SDM, humidity --- GDP --- the fire assimilation effect --- fire inertia effect --- fire caution effect --- urban land development --- natural environmental impact --- driving forces-pressure-state-impact-policy and pattern (DPSIP) --- water supply --- demand --- time-series forecasting --- ARIMA --- urban water sustainability --- Istanbul --- ecosystem approach --- urban ecology --- eco-cities --- process-function ecology --- heat island mitigation --- urban forestry --- green infrastructure --- ecological landscape management --- sustainability index --- mixed land-use --- neighbourhood --- travel behaviour --- perception --- indicator --- stakeholder --- megacity --- co-design --- co-production --- bottom-up --- anthropogenic impact --- environmental threshold --- road grades --- heavy-duty vehicles --- emissions --- sustainable transportation --- China --- water asset management --- Gap analysis --- LOS (level of service) --- PIs (performance indicators) --- customer value --- noise pollution --- low-frequency noise --- DEFRA --- human well-being --- sustainability --- power poles --- City Biodiversity Index --- Satoyama Index --- land use mixture --- land cover --- GIS --- sustainability --- sustainable development --- sustainable urban development --- sustainable city --- sustainable urban ecosystems --- sustainability assessment --- smart cities

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