此页面上的内容需要较新版本的 Adobe Flash Player。

获取 Adobe Flash Player

Characteristics analysis of muzzle impulse noise based on wavelet energy spectrum

 

LAI Fu-wen1,2, ZHANG Jian-yu2, HU Gui-mei2

 

(1. Key Laboratory of Instrumentation Science & Dynamic Measurement (North University of China),Ministry of Education, Taiyuan 030051, China;2. Baicheng Ordnance Test Center of China, Baicheng 137001, China)

 

Abstract: Because muzzle impulse noise could cause damage to or have an influence on the operator, the effective protective measures should be taken. Therefore, correct analysis of impulse noise characteristics is very significant. Considering the shortcomings of fast Fourier transform method (FFT) in analysis of muzzle impulse noise frequency characteristics, wavelet energy spectrum method is put forward. Based on specific experiment data, the frequency characteristics and spectral energy distribution can be obtained. The experiment results show that wavelet energy spectrum method is applicable in muzzle impulse noise characteristic analysis.

 

Key words: muzzle impulse noise; wavelet transform; energy spectrum; signal processing

 

CLD number: TN911.7Document code: A

 

Article ID: 1674-8042(2015)02-0142-05 doi: 10.3969/j.issn.1674-8042.2015.02.006

 

References

 

[1] GAO Ning-jun , ZHANG Yu-hui. Modern weapons and hearing protection. China Personal Protective Equipment, 2009, (2): 36-39.
[2] ZHAI Suo-qiang. Review of prevention and treatment of military noise deaf. Chinese Journal of Otology, 2013, 11(3): 384-386.
[3] WANG Bin-yi. Gun muzzle noise & explosive sound characteristics, protection and control. Beijing: National Defense Industry Press, 2001: 114-117.
[4] XIAO Feng, LI Hui-chang. Sound, weapons and measurements. Beijing: National Defense Industry Press, 2002: 104-110.
[5] GU Ying-ying, MEI Yong, ZHANG Rui, et al. Study on the attenuation of eighteen types of earplugs in different frequencies with REAT method. Industrial Health and  Occupational Disease, 2014, 40(2): 81-86.
[6] FENG Hong-yi, ZHANG Jie, SHI Yuan, et al. A five-year longitudinal study of wearing individual hearing protection earplugs. Occupation and Health, 2014, 30(1): 4-7.
[7] KONG De-ren, TAN Xing-ling,WANG Tie-sheng. Researcher on the muzzle noise measurement and noise spetrum analysis methods. Journal of  Ballistics, 1991, (4): 60-65.
[8] KONG lin, SU Jian-jun, LI Zhi-rong, et al. Energy spectrum analysis of several kinds of explosive blast. Chinese Journal of Explosives & Propellants, 2010, 33(6): 76-79.
[9] WEN Hua-bing, ZHANG Jian, YIN Qun. Time-frequency characteristic analysis of underwater explosion pressure based on wavelet transform. Journal of Vibration, Measurement & Diagnosis, 2008, 28(2): 155-158.
[10] JIA Yun-fei, ZHANG Chun-qi, KANG Jin. Shock wave signal test and wavelet analysis. Journal of Projectiles, Rockets, Missiles and Guidance, 2014, 34(5): 86-89.
[11] SHAO Bei-bei, ZHANG Fang, ZHANG Mei. The research of the vibration characteristics of armored vehicle seat based on wavelet energy spectrum. Equipment Manufacturing Technology,  2014,  (4):  122-126.

 

 

基于小波能量谱的炮口脉冲噪声特性分析

 

赖富文1,2, 张建宇2, 胡桂梅2

 

(1. 中北大学 仪器科学与动态测试教育部重点实验室, 山西 太原 030051; 2. 中国白城兵器试验中心, 吉林 白城 137001)

 

摘要: 火炮发射时产生的脉冲噪声对操作人员会造成不同程度的损伤或影响, 必须进行人员防护, 因此分析炮口脉冲噪声特性对噪声的治理和人员防护具有重要意义。 针对傅立叶分析方法在脉冲噪声分析中的不足, 提出了小波能量谱分析方法。 通过对试验数据进行分析, 得到了脉冲噪声的局域信号特征和频谱能量分布。 实验结果表明, 小波能量谱方法适用于炮口脉冲噪声特性分析。

 

关键词: 炮口脉冲噪声;  小波变换;   能量谱; 信号处理

 

引用格式:LAI Fu-wen, ZHANG Jian-yu, HU Gui-mei. Characteristics analysis of muzzle impulse noise based on wavelet energy spectrum. Journal of Measurement Science and Instrumentation, 2015, 6(2): 142-146. [doi: 10.3969/j.issn.1674-8042.2015.02.006]

 

[full text view]