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 through advanced...
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| Main Authors: | , , , , , |
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| Formato: | Online |
| Idioma: | inglés |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Acceso en liña: | 43647 |
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| _version_ | 1869523982028374016 |
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| author | Wang, Dong Zhang, Xiancheng Chen, Gang Correia, José A.F.O. Qian, Guian Zhu, Shun-Peng |
| author_browse | Chen, Gang Correia, José A.F.O. Qian, Guian Wang, Dong Zhang, Xiancheng Zhu, Shun-Peng |
| author_facet | Wang, Dong Zhang, Xiancheng Chen, Gang Correia, José A.F.O. Qian, Guian Zhu, Shun-Peng |
| author_sort | Wang, Dong |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-60148 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-601482024-04-05T17:30:18Z Structural Prognostics and Health Management in Power & Energy Systems Wang, Dong Zhang, Xiancheng Chen, Gang Correia, José A.F.O. Qian, Guian Zhu, Shun-Peng B1-5802 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 thema EDItEUR::Q Philosophy and Religion::QD Philosophy 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. 2021-02-12T04:42:58Z 2021-02-12T04:42:58Z 2020-01-30 16:39:46 2020 book 43647 9783039217670 9783039217663 https://directory.doabooks.org/handle/20.500.12854/60148 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://www.mdpi.com/books/pdfview/book/1982 https://www.mdpi.com/books/pdfview/book/1982 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-767-0 10.3390/books978-3-03921-767-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039217670 9783039217663 218 open access |
| spellingShingle | B1-5802 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 thema EDItEUR::Q Philosophy and Religion::QD Philosophy Wang, Dong Zhang, Xiancheng Chen, Gang Correia, José A.F.O. Qian, Guian Zhu, Shun-Peng Structural Prognostics and Health Management in Power & Energy Systems |
| title | Structural Prognostics and Health Management in Power & Energy Systems |
| title_full | Structural Prognostics and Health Management in Power & Energy Systems |
| title_fullStr | Structural Prognostics and Health Management in Power & Energy Systems |
| title_full_unstemmed | Structural Prognostics and Health Management in Power & Energy Systems |
| title_short | Structural Prognostics and Health Management in Power & Energy Systems |
| title_sort | structural prognostics and health management in power energy systems |
| topic | B1-5802 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 thema EDItEUR::Q Philosophy and Religion::QD Philosophy |
| topic_facet | B1-5802 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 thema EDItEUR::Q Philosophy and Religion::QD Philosophy |
| url | 43647 |
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