Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor

Blade tip-timing is one of the most effective methods for blade vibration parameters identification of turbomachinery. Once-per revolution (OPR) sensor is usually used to determine the rotating speed and as a time reference. However, the OPR sensor leads to a large measurement error or even failure,...

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Main Authors: Liang Zhang, Huiqun Yuan, Xin Li
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2021/5860353
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spelling doaj-b9542e7beede4ab7aa59f00763b21c1a2021-08-09T00:00:10ZengHindawi LimitedShock and Vibration1875-92032021-01-01202110.1155/2021/5860353Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR SensorLiang Zhang0Huiqun Yuan1Xin Li2Faculty of Mechanical Engineering and AutomationSchool of Mechanical Engineering and AutomationFaculty of Mechanical Engineering and AutomationBlade tip-timing is one of the most effective methods for blade vibration parameters identification of turbomachinery. Once-per revolution (OPR) sensor is usually used to determine the rotating speed and as a time reference. However, the OPR sensor leads to a large measurement error or even failure, or it is difficult to install. A new improved two-parameter method without the OPR sensor is proposed to identify the synchronous vibration parameters of variable rotating speed blades. Three eddy current sensors are required to identify the excitation order, vibration amplitude, resonance rotating speed frequency, resonance frequency, and the initial phase of the blades. Numerical simulation of blade synchronous vibration parameters identification is presented, and the identification error of the method is investigated. The simulation results show that the identification accuracy of this method is better than that of the traditional two-parameter method and the improved method in reference, especially in the identification of the vibration initial phase. Experiments are conducted based on the blade tip-timing vibration measurement system. The results indicate that the standard errors of vibration parameter identification results between the new method and the method in reference are smaller, except for the initial phase. It is consistent with the results of the simulation identification. The synchronous vibration parameter identification of variable rotating speed blades without the OPR sensor is achieved based on the new improved two-parameter method.http://dx.doi.org/10.1155/2021/5860353
collection DOAJ
language English
format Article
sources DOAJ
author Liang Zhang
Huiqun Yuan
Xin Li
spellingShingle Liang Zhang
Huiqun Yuan
Xin Li
Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
Shock and Vibration
author_facet Liang Zhang
Huiqun Yuan
Xin Li
author_sort Liang Zhang
title Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
title_short Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
title_full Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
title_fullStr Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
title_full_unstemmed Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two-Parameter Method without OPR Sensor
title_sort synchronous vibration parameters identification of variable rotating speed blades based on new improved two-parameter method without opr sensor
publisher Hindawi Limited
series Shock and Vibration
issn 1875-9203
publishDate 2021-01-01
description Blade tip-timing is one of the most effective methods for blade vibration parameters identification of turbomachinery. Once-per revolution (OPR) sensor is usually used to determine the rotating speed and as a time reference. However, the OPR sensor leads to a large measurement error or even failure, or it is difficult to install. A new improved two-parameter method without the OPR sensor is proposed to identify the synchronous vibration parameters of variable rotating speed blades. Three eddy current sensors are required to identify the excitation order, vibration amplitude, resonance rotating speed frequency, resonance frequency, and the initial phase of the blades. Numerical simulation of blade synchronous vibration parameters identification is presented, and the identification error of the method is investigated. The simulation results show that the identification accuracy of this method is better than that of the traditional two-parameter method and the improved method in reference, especially in the identification of the vibration initial phase. Experiments are conducted based on the blade tip-timing vibration measurement system. The results indicate that the standard errors of vibration parameter identification results between the new method and the method in reference are smaller, except for the initial phase. It is consistent with the results of the simulation identification. The synchronous vibration parameter identification of variable rotating speed blades without the OPR sensor is achieved based on the new improved two-parameter method.
url http://dx.doi.org/10.1155/2021/5860353
work_keys_str_mv AT liangzhang synchronousvibrationparametersidentificationofvariablerotatingspeedbladesbasedonnewimprovedtwoparametermethodwithoutoprsensor
AT huiqunyuan synchronousvibrationparametersidentificationofvariablerotatingspeedbladesbasedonnewimprovedtwoparametermethodwithoutoprsensor
AT xinli synchronousvibrationparametersidentificationofvariablerotatingspeedbladesbasedonnewimprovedtwoparametermethodwithoutoprsensor
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