TY - BOOK ID - 61157080 TI - Structural Prognostics and Health Management in Power & Energy Systems AU - Wang, Dong AU - Zhang, Xiancheng AU - Chen, Gang AU - Correia, José A.F.O. AU - Qian, Guian AU - Zhu, Shun-Peng PY - 2020 SN - 3039217674 3039217666 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - empirical mode decomposition KW - underground powerhouse KW - sensitivity analysis KW - DNN KW - fault detection KW - neural networks KW - structural health monitoring KW - analysis mode decomposition KW - dynamic analysis of the structure KW - residual useful life KW - renewable energy KW - remaining useful life KW - retrofitting activities KW - wind turbine blade KW - optimized deep belief networks KW - strain prediction KW - offshore wind turbines KW - low frequency tail fluctuation KW - oil and gas platforms KW - supporting vector machine (SVM) KW - wave–structure interaction (WSI) KW - sifting stop criterion KW - probabilistic analyses of stochastic processes and frequency KW - mode mixing KW - non-probabilistic reliability index KW - data-driven KW - prognostics KW - turbine blisk KW - wind turbines KW - supervisory control and data acquisition system KW - fuzzy safety criterion KW - analysis-empirical mode decomposition KW - rotation of hydraulic generator KW - life cycle cost KW - health monitoring KW - reliability KW - wavelet decomposition KW - weighted regression KW - similarity-based approach KW - vibration transmission mechanism KW - wind and wave analysis KW - full-scale static test KW - deep learning KW - multioperation condition KW - extremum surface response method KW - lithium-ion battery KW - vibration test KW - lateral-river vibration KW - operational modal analysis KW - dynamic analysis KW - regeneration phenomenon KW - machine learning KW - prognostic and Health Management KW - offshore structures KW - NAR neural network KW - techno-economic assessments KW - stochastic subspace identification KW - vertical axis wind turbine KW - dynamic fuzzy reliability analysis UR - https://www.unicat.be/uniCat?func=search&query=sysid:61157080 AB - 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. ER -