Optimization Acceleration Integral Method Based on Power Spectrum Estimation
Due to the excellent performance of the frequency domain integration method, it is widely used for acceleration integral calculations. However, the frequency-domain integration needs to select the effective integration frequency band to achieve its optimal integration performance. This paper propose...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201817603012 |
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author | Guo Ruijie Ye Shengbo Ji Yicai |
author_facet | Guo Ruijie Ye Shengbo Ji Yicai |
author_sort | Guo Ruijie |
collection | DOAJ |
description | Due to the excellent performance of the frequency domain integration method, it is widely used for acceleration integral calculations. However, the frequency-domain integration needs to select the effective integration frequency band to achieve its optimal integration performance. This paper proposes the method with power spectrum density (PSD) estimation to realize the optimization integral of the acceleration signal. By analysing the power spectrum density of the acceleration signal, the optimal low frequency cut-off frequency is obtained. Combined with frequency domain integration algorithm, it can effectively remove low-frequency noise and improve integral accuracy. Then, the novel algorithm tested by an experiment platform with a vibration bench. Experiment results show that this algorithm can adaptively select the low-frequency cut-off frequency and realize frequency domain integration optimization and the integration error is controlled within ±0.2mm. |
first_indexed | 2024-12-20T00:44:15Z |
format | Article |
id | doaj.art-7137ce1494bd4b1c8f79d66c3e7e7b4d |
institution | Directory Open Access Journal |
issn | 2261-236X |
language | English |
last_indexed | 2024-12-20T00:44:15Z |
publishDate | 2018-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | MATEC Web of Conferences |
spelling | doaj.art-7137ce1494bd4b1c8f79d66c3e7e7b4d2022-12-21T19:59:27ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011760301210.1051/matecconf/201817603012matecconf_ifid2018_03012Optimization Acceleration Integral Method Based on Power Spectrum EstimationGuo RuijieYe ShengboJi YicaiDue to the excellent performance of the frequency domain integration method, it is widely used for acceleration integral calculations. However, the frequency-domain integration needs to select the effective integration frequency band to achieve its optimal integration performance. This paper proposes the method with power spectrum density (PSD) estimation to realize the optimization integral of the acceleration signal. By analysing the power spectrum density of the acceleration signal, the optimal low frequency cut-off frequency is obtained. Combined with frequency domain integration algorithm, it can effectively remove low-frequency noise and improve integral accuracy. Then, the novel algorithm tested by an experiment platform with a vibration bench. Experiment results show that this algorithm can adaptively select the low-frequency cut-off frequency and realize frequency domain integration optimization and the integration error is controlled within ±0.2mm.https://doi.org/10.1051/matecconf/201817603012 |
spellingShingle | Guo Ruijie Ye Shengbo Ji Yicai Optimization Acceleration Integral Method Based on Power Spectrum Estimation MATEC Web of Conferences |
title | Optimization Acceleration Integral Method Based on Power Spectrum Estimation |
title_full | Optimization Acceleration Integral Method Based on Power Spectrum Estimation |
title_fullStr | Optimization Acceleration Integral Method Based on Power Spectrum Estimation |
title_full_unstemmed | Optimization Acceleration Integral Method Based on Power Spectrum Estimation |
title_short | Optimization Acceleration Integral Method Based on Power Spectrum Estimation |
title_sort | optimization acceleration integral method based on power spectrum estimation |
url | https://doi.org/10.1051/matecconf/201817603012 |
work_keys_str_mv | AT guoruijie optimizationaccelerationintegralmethodbasedonpowerspectrumestimation AT yeshengbo optimizationaccelerationintegralmethodbasedonpowerspectrumestimation AT jiyicai optimizationaccelerationintegralmethodbasedonpowerspectrumestimation |