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| The Research of Processing Method Based on Maximum Spectral for Non-Stationary Random Vibration Data |
| Received:August 16, 2016 Revised:September 07, 2016 |
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| DOI：10.7643/ issn.1672-9242.2016.05.009 |
| KeyWord:non-stationary random vibration data, maximum spectral, FFT, digital filter |
| Author | Institution |
| 徐俊 |
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| 傅耘 |
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| 张建军 |
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| 孙建勇 |
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| 王星皓 |
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| Abstract: |
| Objective To solve the problem that the environmental measurement of non-stationary random vibration data can’t deal with power spectral density. Methods Two methods of maximum spectral analysis have been summed up, it’s FFT and digital filter, which are based on minimum mean-square error criterion. Results The advantages, disadvantages and error of two methods with different bandwidth are discussed, and the theoretic analysis and simulation results show that: the error is minimum with conventional FFT computations (proportional resolution bandwidth). Conclusion Applying the conventional FFT computations into 9 sorties of non-stationary vibration data processing and environmental condition determination for a certain missile, the result is reasonable and effective, which provides guidance for formulating environmental condition based on maximum spectral. |
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