A novel method to improve the precision of BTT under rapid speed fluctuation conditions
[Display omitted] •The influence of speed fluctuation on the theoretical arrival time is investigated.•The influence of rotational speed fluctuation on the measurement of blades’ vibration displacement is basically eliminated.•The speed measurement error is not more than 0.6 rpm as the accelerating...
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| Published in | Mechanical systems and signal processing Vol. 177; p. 109203 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin
Elsevier Ltd
01.09.2022
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0888-3270 1096-1216 |
| DOI | 10.1016/j.ymssp.2022.109203 |
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| Abstract | [Display omitted]
•The influence of speed fluctuation on the theoretical arrival time is investigated.•The influence of rotational speed fluctuation on the measurement of blades’ vibration displacement is basically eliminated.•The speed measurement error is not more than 0.6 rpm as the accelerating speed as high as 1200 rpm/s.•The new method has been verified by the numerical simulation, multi-blades test-rig and largescale industry turbo fan.
It is ultra-important to evaluate the turbine machine blade dynamic stress under abnormal conditions such as rapid rotating speed fluctuation result from surge, rub and foreign object impact. The blade tip timing (BTT) based non-contact dynamic stress measurement method is the most promising technology to replace rotating blade strain gauge. However, there are great challenges to precisely monitor the blade vibration as the rotating speed rapidly fluctuated. It limits the application of BTT considerably. Here, a novel BTT method is proposed to achieve high-precision blade vibration measurement under rapid speed fluctuation conditions. The influence of speed fluctuation on the theoretical arrival time is investigated based on the relationship between blade theoretical arrival time and installation angle. Further, using of the SG filter greatly reduces the computational complexity. The effectiveness of the method is verified by numerical simulation, academic test rig and large industrial turbo fan. The results indicate that the speed measurement error is not more than 0.6 rpm as the accelerating speed as high as 1200 rpm/s. The blade vibration displacement error caused by the rapid speed change can be less than 10 μm. Comparing with existing BTT methods, the average and standard deviation of the blade vibration measurement error are greatly reduced. The method has great value for the application of the blade health monitor and predictive maintenance in turbomachines. |
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| AbstractList | [Display omitted]
•The influence of speed fluctuation on the theoretical arrival time is investigated.•The influence of rotational speed fluctuation on the measurement of blades’ vibration displacement is basically eliminated.•The speed measurement error is not more than 0.6 rpm as the accelerating speed as high as 1200 rpm/s.•The new method has been verified by the numerical simulation, multi-blades test-rig and largescale industry turbo fan.
It is ultra-important to evaluate the turbine machine blade dynamic stress under abnormal conditions such as rapid rotating speed fluctuation result from surge, rub and foreign object impact. The blade tip timing (BTT) based non-contact dynamic stress measurement method is the most promising technology to replace rotating blade strain gauge. However, there are great challenges to precisely monitor the blade vibration as the rotating speed rapidly fluctuated. It limits the application of BTT considerably. Here, a novel BTT method is proposed to achieve high-precision blade vibration measurement under rapid speed fluctuation conditions. The influence of speed fluctuation on the theoretical arrival time is investigated based on the relationship between blade theoretical arrival time and installation angle. Further, using of the SG filter greatly reduces the computational complexity. The effectiveness of the method is verified by numerical simulation, academic test rig and large industrial turbo fan. The results indicate that the speed measurement error is not more than 0.6 rpm as the accelerating speed as high as 1200 rpm/s. The blade vibration displacement error caused by the rapid speed change can be less than 10 μm. Comparing with existing BTT methods, the average and standard deviation of the blade vibration measurement error are greatly reduced. The method has great value for the application of the blade health monitor and predictive maintenance in turbomachines. It is ultra-important to evaluate the turbine machine blade dynamic stress under abnormal conditions such as rapid rotating speed fluctuation result from surge, rub and foreign object impact. The blade tip timing (BTT) based non-contact dynamic stress measurement method is the most promising technology to replace rotating blade strain gauge. However, there are great challenges to precisely monitor the blade vibration as the rotating speed rapidly fluctuated. It limits the application of BTT considerably. Here, a novel BTT method is proposed to achieve high-precision blade vibration measurement under rapid speed fluctuation conditions. The influence of speed fluctuation on the theoretical arrival time is investigated based on the relationship between blade theoretical arrival time and installation angle. Further, using of the SG filter greatly reduces the computational complexity. The effectiveness of the method is verified by numerical simulation, academic test rig and large industrial turbo fan. The results indicate that the speed measurement error is not more than 0.6 rpm as the accelerating speed as high as 1200 rpm/s. The blade vibration displacement error caused by the rapid speed change can be less than 10 μm. Comparing with existing BTT methods, the average and standard deviation of the blade vibration measurement error are greatly reduced. The method has great value for the application of the blade health monitor and predictive maintenance in turbomachines. |
| ArticleNumber | 109203 |
| Author | Wang, Weimin Zhang, Xulong Chen, Kang Li, Weibo |
| Author_xml | – sequence: 1 givenname: Weimin surname: Wang fullname: Wang, Weimin email: wwm@mail.buct.edu.cn organization: Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029, PR China – sequence: 2 givenname: Kang surname: Chen fullname: Chen, Kang organization: Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029, PR China – sequence: 3 givenname: Xulong surname: Zhang fullname: Zhang, Xulong organization: Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029, PR China – sequence: 4 givenname: Weibo surname: Li fullname: Li, Weibo organization: Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment, Beijing University of Chemical Technology, Beijing 100029, PR China |
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| Cites_doi | 10.1016/j.ymssp.2017.04.023 10.1155/2019/8103216 10.1021/ac60214a047 10.1115/GT2012-68499 10.1115/1.4045791 10.1016/j.ymssp.2019.04.063 10.1109/TIM.2018.2815479 10.1007/978-3-319-09918-7_2 10.1533/9780857094537.4.211 10.1515/msr-2018-0033 10.1243/09544100JAERO257 10.1016/j.ymssp.2018.12.033 10.1016/j.ymssp.2019.02.016 10.3390/s17102162 10.1063/1.4952657 10.1016/j.ymssp.2015.06.016 10.1016/j.ymssp.2021.107898 10.3390/s17051097 10.1016/j.jsv.2021.116628 10.1016/j.measurement.2021.109861 10.1109/TIM.2020.2980912 10.1109/TIM.2021.3123218 10.1016/j.ymssp.2020.107330 10.1016/j.cja.2020.01.014 10.1016/j.ymssp.2020.106851 10.1016/j.ymssp.2021.108030 10.1016/j.ymssp.2019.106321 10.1115/POWER2006-88239 |
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•The influence of speed fluctuation on the theoretical arrival time is investigated.•The influence of rotational speed fluctuation on the... It is ultra-important to evaluate the turbine machine blade dynamic stress under abnormal conditions such as rapid rotating speed fluctuation result from... |
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| SubjectTerms | Blade tip timing Blade tips Blade vibration Contact stresses Dynamic stress measurement Error analysis Error reduction Measurement methods None once per revolution Predictive maintenance Rapid speed fluctuation Rotation Strain gauges Stress measurement Turbines Turbomachinery Vibration measurement Vibration monitoring |
| Title | A novel method to improve the precision of BTT under rapid speed fluctuation conditions |
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