Wang, Dong||Zhang, Xiancheng||Chen, Gang||Correia, José A.F.O.||Qian, Guian||Zhu, Shun-Peng <br/><br/>
Structural Prognostics and Health Management in Power & Energy Systems 

<br/><br/><br/>English[eng] 
<br/><br/><label>Subjects--Topical Terms: </label><br/>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