3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement

With the technological evolutionary advent, a vision-based approach presents the remote measuring approach for the analysis of vibration. The structure vibration test and model parameter identification in the detection of the structure of the bridge evaluation occupies the important position. The br...

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Autores principales: Yao Qi, Shabaz Mohammad, Lohani Tarun Kumar, Wasim Bhatt Mohammed, Panesar Gurpreet Singh, Singh Raj Karan
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/6e725a64c8884cf9bbbee2e599b5425d
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spelling oai:doaj.org-article:6e725a64c8884cf9bbbee2e599b5425d2021-12-05T14:10:51Z3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement0334-18602191-026X10.1515/jisys-2020-0123https://doaj.org/article/6e725a64c8884cf9bbbee2e599b5425d2021-04-01T00:00:00Zhttps://doi.org/10.1515/jisys-2020-0123https://doaj.org/toc/0334-1860https://doaj.org/toc/2191-026XWith the technological evolutionary advent, a vision-based approach presents the remote measuring approach for the analysis of vibration. The structure vibration test and model parameter identification in the detection of the structure of the bridge evaluation occupies the important position. The bridge structure to operate safely and reliably is ensured, according to the geological data of qixiashan lead-zinc mine and engineering actual situation, with the aid of international mining software Surpac. To build the 3D visualization model of the application of visualization in mine production are discussed. The results show that the final solid model of -425 stope can accurately display the spatial form of each layer of stope through rotation, amplification and movement. The proposed system is effectually able to perform cutting, volume calculation and roaming in any direction, which has certain guiding significance for mine production management. An accuracy value of 98.75%, the sensitivity of 99%, specificity of 99.64% and PPV of 99.89% are achieved using the proposed 3D modelling and visualization algorithm for vibration signal processing and management.Yao QiShabaz MohammadLohani Tarun KumarWasim Bhatt MohammedPanesar Gurpreet SinghSingh Raj KaranDe Gruyterarticle3d modellingvibration signal processingvibration measurement3d visualizationreliabilityScienceQElectronic computers. Computer scienceQA75.5-76.95ENJournal of Intelligent Systems, Vol 30, Iss 1, Pp 541-553 (2021)
institution DOAJ
collection DOAJ
language EN
topic 3d modelling
vibration signal processing
vibration measurement
3d visualization
reliability
Science
Q
Electronic computers. Computer science
QA75.5-76.95
spellingShingle 3d modelling
vibration signal processing
vibration measurement
3d visualization
reliability
Science
Q
Electronic computers. Computer science
QA75.5-76.95
Yao Qi
Shabaz Mohammad
Lohani Tarun Kumar
Wasim Bhatt Mohammed
Panesar Gurpreet Singh
Singh Raj Karan
3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
description With the technological evolutionary advent, a vision-based approach presents the remote measuring approach for the analysis of vibration. The structure vibration test and model parameter identification in the detection of the structure of the bridge evaluation occupies the important position. The bridge structure to operate safely and reliably is ensured, according to the geological data of qixiashan lead-zinc mine and engineering actual situation, with the aid of international mining software Surpac. To build the 3D visualization model of the application of visualization in mine production are discussed. The results show that the final solid model of -425 stope can accurately display the spatial form of each layer of stope through rotation, amplification and movement. The proposed system is effectually able to perform cutting, volume calculation and roaming in any direction, which has certain guiding significance for mine production management. An accuracy value of 98.75%, the sensitivity of 99%, specificity of 99.64% and PPV of 99.89% are achieved using the proposed 3D modelling and visualization algorithm for vibration signal processing and management.
format article
author Yao Qi
Shabaz Mohammad
Lohani Tarun Kumar
Wasim Bhatt Mohammed
Panesar Gurpreet Singh
Singh Raj Karan
author_facet Yao Qi
Shabaz Mohammad
Lohani Tarun Kumar
Wasim Bhatt Mohammed
Panesar Gurpreet Singh
Singh Raj Karan
author_sort Yao Qi
title 3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
title_short 3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
title_full 3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
title_fullStr 3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
title_full_unstemmed 3D modelling and visualization for Vision-based Vibration Signal Processing and Measurement
title_sort 3d modelling and visualization for vision-based vibration signal processing and measurement
publisher De Gruyter
publishDate 2021
url https://doaj.org/article/6e725a64c8884cf9bbbee2e599b5425d
work_keys_str_mv AT yaoqi 3dmodellingandvisualizationforvisionbasedvibrationsignalprocessingandmeasurement
AT shabazmohammad 3dmodellingandvisualizationforvisionbasedvibrationsignalprocessingandmeasurement
AT lohanitarunkumar 3dmodellingandvisualizationforvisionbasedvibrationsignalprocessingandmeasurement
AT wasimbhattmohammed 3dmodellingandvisualizationforvisionbasedvibrationsignalprocessingandmeasurement
AT panesargurpreetsingh 3dmodellingandvisualizationforvisionbasedvibrationsignalprocessingandmeasurement
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