Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment

CThe aim of the paper is to develop ranking techniques for dynamic equipment based on its technical conditions, the estimation of recovered resource value and the determination of critical points of time after which equipment operation has to be terminated. Accelerometer data, cross-spectrum for wav...

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Main Authors: Leonid Mylnikov, Nikita Efimov
Format: Article
Language:English
Published: Anhalt University of Applied Sciences 2022-03-01
Series:Proceedings of the International Conference on Applied Innovations in IT
Subjects:
Online Access:https://icaiit.org/paper.php?paper=10th_ICAIIT_1/2_6
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author Leonid Mylnikov
Nikita Efimov
author_facet Leonid Mylnikov
Nikita Efimov
author_sort Leonid Mylnikov
collection DOAJ
description CThe aim of the paper is to develop ranking techniques for dynamic equipment based on its technical conditions, the estimation of recovered resource value and the determination of critical points of time after which equipment operation has to be terminated. Accelerometer data, cross-spectrum for wave analysis and a TOPSIS-based method have been used to achieve the goal. The most significant result of the work is a method of estimating the technical condition of the equipment, which allows: 1) to perform the transition to condition-based equipment maintenance by predicting non-normative work time; 2) to plan preventive repairs; 3) to select performers for repairs and maintenance of equipment based on objective estimates of work quality. The importance of the results is as follows: 1) the application of multi-criteria ranking method allowed to make ranking according to the technical condition of the equipment units for which condition monitoring groups of sensors are used; 2) it is shown that equipment condition changing is non-linear and there are areas of accelerated degradation; when the latter ones are reached, an accelerated condition deterioration is encountered; 3) the application of the technique on the data simultaneously taken from four sensors has shown its ability to conduct a comprehensive estimation without reference to a specific type of failure in conditions when the data from individual accelerometers give different information about the failure due to the different distance from the problem area. The verification of the proposed theoretical results is carried out on the basis of operating time data before a bearing failure, as well as monitoring data on the operation of wind turbine gearboxes.
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spelling doaj.art-96b1d8efd0db4653ad88ba74f7209e292023-05-17T06:09:44ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762022-03-01101819110.25673/76935Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic EquipmentLeonid Mylnikov0https://orcid.org/0000-0001-5935-969XNikita Efimov1Perm National Research Polytechnic University, 29 Komsomolsky avenue, Perm, RussiaPerm National Research Polytechnic University, 29 Komsomolsky avenue, Perm, RussiaCThe aim of the paper is to develop ranking techniques for dynamic equipment based on its technical conditions, the estimation of recovered resource value and the determination of critical points of time after which equipment operation has to be terminated. Accelerometer data, cross-spectrum for wave analysis and a TOPSIS-based method have been used to achieve the goal. The most significant result of the work is a method of estimating the technical condition of the equipment, which allows: 1) to perform the transition to condition-based equipment maintenance by predicting non-normative work time; 2) to plan preventive repairs; 3) to select performers for repairs and maintenance of equipment based on objective estimates of work quality. The importance of the results is as follows: 1) the application of multi-criteria ranking method allowed to make ranking according to the technical condition of the equipment units for which condition monitoring groups of sensors are used; 2) it is shown that equipment condition changing is non-linear and there are areas of accelerated degradation; when the latter ones are reached, an accelerated condition deterioration is encountered; 3) the application of the technique on the data simultaneously taken from four sensors has shown its ability to conduct a comprehensive estimation without reference to a specific type of failure in conditions when the data from individual accelerometers give different information about the failure due to the different distance from the problem area. The verification of the proposed theoretical results is carried out on the basis of operating time data before a bearing failure, as well as monitoring data on the operation of wind turbine gearboxes.https://icaiit.org/paper.php?paper=10th_ICAIIT_1/2_6equipment conditionvibrationdynamic equipmentmodelrankingsignal analysis
spellingShingle Leonid Mylnikov
Nikita Efimov
Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
Proceedings of the International Conference on Applied Innovations in IT
equipment condition
vibration
dynamic equipment
model
ranking
signal analysis
title Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
title_full Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
title_fullStr Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
title_full_unstemmed Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
title_short Cross-Spectrum of Signals of Vibrations and their Application for Determination of the Technical Condition of Dynamic Equipment
title_sort cross spectrum of signals of vibrations and their application for determination of the technical condition of dynamic equipment
topic equipment condition
vibration
dynamic equipment
model
ranking
signal analysis
url https://icaiit.org/paper.php?paper=10th_ICAIIT_1/2_6
work_keys_str_mv AT leonidmylnikov crossspectrumofsignalsofvibrationsandtheirapplicationfordeterminationofthetechnicalconditionofdynamicequipment
AT nikitaefimov crossspectrumofsignalsofvibrationsandtheirapplicationfordeterminationofthetechnicalconditionofdynamicequipment