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Structural Prognostics and Health Management in Power & Energy Systems
| Structural Prognostics and Health Management in Power & Energy Systems |
| Autore | Wang Dong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto non controllato |
empirical mode decomposition
underground powerhouse sensitivity analysis DNN fault detection neural networks structural health monitoring analysis mode decomposition dynamic analysis of the structure residual useful life renewable energy remaining useful life retrofitting activities wind turbine blade optimized deep belief networks strain prediction offshore wind turbines low frequency tail fluctuation oil and gas platforms supporting vector machine (SVM) wave–structure interaction (WSI) sifting stop criterion probabilistic analyses of stochastic processes and frequency mode mixing non-probabilistic reliability index data-driven prognostics turbine blisk wind turbines supervisory control and data acquisition system fuzzy safety criterion analysis-empirical mode decomposition rotation of hydraulic generator life cycle cost health monitoring reliability wavelet decomposition weighted regression similarity-based approach vibration transmission mechanism wind and wave analysis full-scale static test deep learning multioperation condition extremum surface response method lithium-ion battery vibration test lateral-river vibration operational modal analysis dynamic analysis regeneration phenomenon machine learning prognostic and Health Management offshore structures NAR neural network techno-economic assessments stochastic subspace identification vertical axis wind turbine dynamic fuzzy reliability analysis |
| ISBN | 3-03921-767-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782603321 |
Wang Dong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Thermal and Electro-thermal System Simulation 2020
| Thermal and Electro-thermal System Simulation 2020 |
| Autore | Rencz Márta |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
lithium-ion battery
thermal modelling electro-thermal model heat generation experimental validation thermal transient testing non-destructive testing thermal testability accuracy repeatability and reproducibility of thermal measurements thermal testing standards 3D IC microchannels liquid cooling compact thermal model thermal simulation hotspot thermal-aware task scheduling DVFS statistical analysis electronic packages detailed thermal model Joint Electron Device Engineering Council (JEDEC) metrics thermal impedance AlGaN-GaN HEMT TDTR thermal conductivity thermal interface resistance size effect phonon transport mechanisms nonlinear thermal model SPICE pulse transformer thermal phenomena self-heating modelling measurements BCI-DCTM ROM modal approach BGA module temperature solar energy heat transfer mechanisms power LED measurement and simulation life testing reliability testing LM-80 TM-21 LED lifetime modelling LED multi-domain modelling Spice-like modelling of LEDs lifetime extrapolation and modelling of LEDs beyond CMOS VO2 thermal-electronic circuits electro-thermal simulation vertical structure power LEDs thermal pads thermal resistance optical efficiency electronics cooling Light-emitting diodes CoB LEDs multi-domain modeling finite volume method phosphor modeling magnetic nanoparticle microfluidics CFD OpenFOAM two-phase solver rheology LED Delphi4LED digital twin digital luminaire design computation time Industry 4.0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557118503321 |
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Rencz Márta
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
