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Research on processing method of undersampling signals in turbine tests
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Yiming MEI1, Weidi HUANG2, Weifei GU1, Bao ZHU1, Jie CHEN1
Thermal Power Generation | 2023, 52(5) : 8 - 13
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Thermal Power Generation | 2023, 52(5): 8-13
• Special topics on safe operation, fault diagnosis and treatment technology of power generation equipment •
Research on processing method of undersampling signals in turbine tests
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Yiming MEI1, Weidi HUANG2, Weifei GU1, Bao ZHU1, Jie CHEN1
Affiliations
  • 1.Zhejiang Key Laboratory of Energy Efficiency and Pollutant Control Technology for Thermal Power Generation, Hangzhou 311100, China
  • 2.Mechanical Engineering Institute of Zhejiang University, Hangzhou 310027, China
Published: 2023-05-25 doi: 10.19666/j.rlfd.202208225
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During signal sampling process of steam turbine digital electric hydraulic control system (DEH) tests, situations that the instrument can not meet the requirements of Nyquist sampling due to the frequency of the primary components is over high may occur. To solve this problem, the envelope of the signal is calculated through Hilbert transform, and the valve closing time is calculated according to the envelope signal. However, the calculation accuracy is limited due to the time interval of the peak points. To improve the calculation accuracy, the undersampled signal is reconstructed, the primary frequency is analyzed by using fast Fourie transform (FFT), and the primary frequency of the signal is determined based on the nature of the frequency domain. On this basis, the initial phase of the AC signals is calculated using the initial value, and the undersampled signals is reconstructed according to the frequency and initial phase. The closing time is calculated according to the difference between the reconstructed and sampled signals based on Akaike information criterion (AIC). In comparison with the Hilbert transform method, the reconstruction method can improve the calculation accuracy. The reconstruction and analysis method can be used in all kinds of undersampled periodic signals, which can make up the shortcomings of hardware in DEH tests.

undersampling signals  /  spectrum extension  /  signal reconstruction  /  AIC  /  Hilbert transform
Yiming MEI, Weidi HUANG, Weifei GU, Bao ZHU, Jie CHEN. Research on processing method of undersampling signals in turbine tests[J]. Thermal Power Generation, 2023 , 52 (5) : 8 -13 . DOI: 10.19666/j.rlfd.202208225
Funding
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  • National Natural Science Foundation of China(52105075)
  • Natural Science Foundation of Zhejiang Province(LQ21E050022)
Appendix
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Year 2023 volume 52 Issue 5
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57
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Article Info
doi: 10.19666/j.rlfd.202208225
  • Receive Date：2022-08-19
  • Online Date：2026-01-23
  • Published：2023-05-25
Article Data
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  • Received：2022-08-19
Funding
National Natural Science Foundation of China(52105075)
Natural Science Foundation of Zhejiang Province(LQ21E050022)
Affiliations
    1.Zhejiang Key Laboratory of Energy Efficiency and Pollutant Control Technology for Thermal Power Generation, Hangzhou 311100, China
    2.Mechanical Engineering Institute of Zhejiang University, Hangzhou 310027, China
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