PSI - Issue 36

Available online at www.sciencedirect.com Available online at www.sciencedirect.com Sci nceDirect Structural Integrity Procedia 00 (2021) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2021) 000 – 000

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Procedia Structural Integrity 36 (2022) 122–129

© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Guest Editors Abstract The results of the processing of the wind turbine gearbox vibration signals are presented. The least square estimators of the periods of the deterministic part of the vibration signal and time variations power of stochastic part are obtained. The amplitude spectra of the deterministic and stochastic oscillations for different degrees of the gearbox damage are analyzed. The covariance structure of stochastic part of vibration was analyzed. The efficient indicator for practical evaluation of gear teeth damage, formed on the basis of amplitude spectra was proposed. © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Guest Editors Keywords: vibration signal, periodically correlated random processes, gear pair, damage indicator 1. Introduction The techniques of analysis of vibration as a periodically correlated random process (PCRP) offered by Mykhailyshyn at al. (1997) for fault detection differs from the traditionally employed techniques of cyclostationary 1st Virtual International Conference “In service Damage of Materials: Diagnostics and Prediction” Evaluation of the mechanism damage using model of vibration signal as a periodically correlated random process Ihor Javorskyj a,b , Roman Yuzefovych a,c, * , Oleh Lychak a , Ivan Matsko a , Pavlo Semenov d a Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Department of methods and facilities for acquisition and processing diagnostic signals, Naukova Str. 5, 79060, Lviv, Ukraine b Bydgoszcz University of Sciences and Technology, Institute of Telecommunication and Computer Sciences, Al. Prof. S. Kaliskiego 7, 85796, Bydgoszcz, Poland c Lviv Polytechnic National University, Department of Applied Mathematics, Bandera Str. 12, 79000, Lviv, Ukraine d Odessa National Maritime University, Department of hoisting and Transport Mashines and Engineering of Port Technological Equipment Mechnikova Str. 34, 65029, Odessa, Ukraine Abstract The results of the processing of the wind turbine gearbox vibration signals are presented. The least square estimators of th peri ds of the deterministic part of th vib ation signal and time variatio s power of stoch stic part a e btained. The amplitude spectra of the deterministic nd stoch stic osc llations for different degrees of he gearbox damag are an lyzed. The cov riance structure of stocha tic p r of vibrati was analyzed. The fficient indicat r for practical ev luation of gear teeth damage, formed on the basis f ampli ude spectra was propos d. © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of t conference Guest Editors Keywords: vibration signal, periodically correlated random processes, gear pair, damage indicator 1. Introduction The techniques of analysis of vibration as a periodically correlated random process (PCRP) offered by Myk ailys yn at al. (1997) for fault detecti differs from the tradition lly employed techniques of cycl stationar 1st Virtual International Conference “In service Damage of Materials: Diagnostics and Prediction” Evaluation of the mechanism damage using model of vibration signal as a periodically correlated random process Ihor Javorskyj a,b , Roman Yuzefovych a,c, * , Oleh Lychak a , Ivan Matsko a , Pavlo Semenov d a Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Department of methods and facilities for acquisition and processing diagnostic signals, Naukova Str. 5, 79060, Lviv, Ukraine b Bydgoszcz University of Sciences and Technology, Institute of Telecommunication and Computer Sciences, Al. Prof. S. Kaliskiego 7, 85796, Bydgoszcz, Poland c Lviv Polytechnic National University, Department of Applied Mathematics, Bandera Str. 12, 79000, Lviv, Ukraine d Odessa National Maritime University, Department of hoisting and Transport Mashines and Engineering of Port Technological Equipment Mechnikova Str. 34, 65029, Odessa, Ukraine

* Corresponding author. Tel.: +38 096 3 733 744; fax: +38 032 263 3355. E-mail address: roman.yuzefovych@gmail.com * Corresponding author. Tel.: +38 096 3 733 744; fax: +38 032 263 3355. E-mail address: roman.yuzefovych@gmail.com

2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Guest Editors 2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Guest Editors

2452-3216 © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the conference Guest Editors 10.1016/j.prostr.2022.01.013