Structural Prognostics and Health Management in Power & Energy Systems

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 th...

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Hlavní autor:	Wang, Dong (auth)
Další autoři:	Zhang, Xiancheng (auth), Chen, Gang (auth), Correia, José A.F.O (auth), Qian, Guian (auth), Zhu, Shun-Peng (auth)
Médium:	Kapitola
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Témata:	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
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Structural Prognostics and Health Management in Power & Energy Systems

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