Structural Prognostics and Health Management in Power & Energy Systems

• Päätekijä: Wang, Dong (auth)
• Muut tekijät: Zhang, Xiancheng (auth), Chen, Gang (auth), Correia, José A.F.O (auth), Qian, Guian (auth), Zhu, Shun-Peng (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Aiheet: Philosophy; 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...