Research on Particle Impact Noise Detection Test Method and Measurement Management Optimization

WANG Likang; ZHANG Jun; GAO Shuai; LI Jiale

doi:10.12338/j.issn.2096-9015.2021.0082

Volume 66 Issue 7

Aug. 2022

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WANG Likang, ZHANG Jun, GAO Shuai, LI Jiale. Research on Particle Impact Noise Detection Test Method and Measurement Management Optimization[J]. Metrology Science and Technology, 2022, 66(7): 58-64, 6. doi: 10.12338/j.issn.2096-9015.2021.0082

Citation:

WANG Likang, ZHANG Jun, GAO Shuai, LI Jiale. Research on Particle Impact Noise Detection Test Method and Measurement Management Optimization[J]. Metrology Science and Technology, 2022, 66(7): 58-64, 6. doi: 10.12338/j.issn.2096-9015.2021.0082

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Research on Particle Impact Noise Detection Test Method and Measurement Management Optimization

doi: 10.12338/j.issn.2096-9015.2021.0082

1.
Shijiazhuang Tianlin Shiwuer Electronics Co., Ltd, Shijiazhuang 050000, China
2.
Hebei Institute of Industrial Development and Informatization, Shijiazhuang 050000, China

Available Online: 2022-07-07
Publish Date: 2022-08-04

Abstract

Abstract

Vibration frequency is an important parameter in the particle impact noise detection (PIND) test. Based on the MATLAB fitting tool and logarithmic transformation, the “package height vibration frequency” relationship graph is analyzed, and a quantifiable mathematical function model is developed to improve the accuracy of the vibration frequency setting. Aiming at the inconsistency of PIND test standards, the standard adoption priority is clarified through the comprehensive comparison method, and the use of impact pulse duration parameters is optimized. Intermediate check of the PIND test equipment based on the mean and range control chart method was carried out to ensure the validity and reliability of the calibration state of the key parameters of the PIND test equipment.
- PIND,
- fitting,
- measurement management,
- intermediate checks,
- function model

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References(15)

References

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