https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Mironovs_Mironov_2017a 2026-05-06T11:38:48Z Revision history for this page on the wiki MediaWiki 1.27.0-wmf.10 https://www.scipedia.com/wd/index.php?title=Mironovs_Mironov_2017a&diff=203996&oldid=prev 2021-02-03T14:38:22Z

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<p>Created page with &quot; == Abstract == It is very important and sometimes even vital to maintain reliability of industrial structures. High quality control during production and structural health m...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> It is very important and sometimes even vital to maintain reliability of industrial structures. High quality control during production and structural health monitoring (SHM) in exploitation provides reliable functioning of large, massive and remote structures, like wind generators, pipelines, power line posts, etc. This paper introduces a complex of technological and methodical solutions for SHM and diagnostics of industrial structures, including those that are actuated by periodic forces. Solutions were verified on a wind generator scaled model with integrated system of piezo-film deformation sensors. Simultaneous and multi-patch Operational Modal Analysis (OMA) approaches were implemented as methodical means for structural diagnostics and monitoring. Specially designed data processing algorithms provide objective evaluation of structural state modification.<br /> <br /> <br /> == Original document ==<br /> <br /> The different versions of the original document can be found in:<br /> <br /> * [https://doi.org/10.1088/1757-899x/251/1/012092 https://doi.org/10.1088/1757-899x/251/1/012092]<br /> <br /> * [https://ortus.rtu.lv/science/lv/publications/26663 https://ortus.rtu.lv/science/lv/publications/26663]<br /> <br /> * [http://stacks.iop.org/1757-899X/251/i=1/a=012092/pdf http://stacks.iop.org/1757-899X/251/i=1/a=012092/pdf],<br /> : [http://stacks.iop.org/1757-899X/251/i=1/a=012092?key=crossref.9bd9bc5ef0d2b63c6aa8a6e793b44c34 http://stacks.iop.org/1757-899X/251/i=1/a=012092?key=crossref.9bd9bc5ef0d2b63c6aa8a6e793b44c34],<br /> : [http://dx.doi.org/10.1088/1757-899x/251/1/012092 http://dx.doi.org/10.1088/1757-899x/251/1/012092] under the license http://iopscience.iop.org/info/page/text-and-data-mining<br /> <br /> * [https://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/pdf https://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/pdf],<br /> : [https://ui.adsabs.harvard.edu/abs/2017MS&amp;E..251a2092M/abstract https://ui.adsabs.harvard.edu/abs/2017MS&amp;E..251a2092M/abstract],<br /> : [http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/pdf http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/pdf],<br /> : [http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/meta http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012092/meta],<br /> : [https://academic.microsoft.com/#/detail/2767112809 https://academic.microsoft.com/#/detail/2767112809]</div>

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