Applying Prognostics and Health Management to Optimize Safety and Sustainability at the First Adaptive High-Rise Structure
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
https://orcid.org/0000-0002-2321-1236
Giuseppe Mannone Martin Dazer
Abstract
Prognostics and Health Management (PHM) offers the potential to increase the acceptance of adaptive structures and to operate them in an optimal way. With suitable design and proper operation, adaptive high-rise structures enable significant increases in sustainability and service life extensions compared to passive high-rise buildings. The control loop for PHM provides a systematic overview of the contents related to PHM and their sequence. However, a framework is required for application to a complex adaptive system. Such a framework is presented in this paper. The framework is divided into the areas of system analysis and modeling as well as the PHM solution. A systematic approach is used to analyze the system and create the basis for full integration of all functional domains. This is then used in modeling to develop an adapted model structure. Finally, the PHM solution looks at the details of the approaches for diagnosis, prognosis, and health management.
How to Cite
##plugins.themes.bootstrap3.article.details##
Adaptive Load-Bearing Structures, Complex PHM System, PHM Framework, Score MPC
de Campos Souza, P. V. (2020, July).
networks and neuro-fuzzy networks:
Fuzzy neural A review the main techniques and applications used in the literature. Applied Soft Computing, 92, 106275. doi:
10.1016/j.asoc.2020.106275
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.