04944nam 2201093z- 450 9910372782603321202102123-03921-767-4(CKB)4100000010163798(oapen)https://directory.doabooks.org/handle/20.500.12854/60148(oapen)doab60148(EXLCZ)99410000001016379820202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStructural Prognostics and Health Management in Power & Energy SystemsMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (218 p.)3-03921-766-6 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.Philosophybicsscanalysis mode decompositionanalysis-empirical mode decompositiondata-drivendeep learningDNNdynamic analysisdynamic analysis of the structuredynamic fuzzy reliability analysisempirical mode decompositionextremum surface response methodfault detectionfull-scale static testfuzzy safety criterionhealth monitoringlateral-river vibrationlife cycle costlithium-ion batterylow frequency tail fluctuationmachine learningmode mixingmultioperation conditionNAR neural networkneural networksnon-probabilistic reliability indexoffshore structuresoffshore wind turbinesoil and gas platformsoperational modal analysisoptimized deep belief networksprobabilistic analyses of stochastic processes and frequencyprognostic and Health Managementprognosticsregeneration phenomenonreliabilityremaining useful liferenewable energyresidual useful liferetrofitting activitiesrotation of hydraulic generatorsensitivity analysissifting stop criterionsimilarity-based approachstochastic subspace identificationstrain predictionstructural health monitoringsupervisory control and data acquisition systemsupporting vector machine (SVM)techno-economic assessmentsturbine bliskunderground powerhousevertical axis wind turbinevibration testvibration transmission mechanismwave-structure interaction (WSI)wavelet decompositionweighted regressionwind and wave analysiswind turbine bladewind turbinesPhilosophyWang Dongauth596182Zhang XianchengauthChen GangauthCorreia José A.F.OauthQian GuianauthZhu Shun-PengauthBOOK9910372782603321Structural Prognostics and Health Management in Power & Energy Systems3020962UNINA