多通道瞬态信号自适应变频算法

doi:10.3969/j.issn.1000-1093.2017.06.016

兵工学报 ›› 2017, Vol. 38 ›› Issue (6): 1161-1167.doi: 10.3969/j.issn.1000-1093.2017.06.016

多通道瞬态信号自适应变频算法

王啸, 韩太林, 张永立, 刘轩, 王义君, 宫玉琳

(长春理工大学电子信息工程学院, 吉林长春 130022)

收稿日期:2016-11-16 修回日期:2016-11-16 上线日期:2017-12-15
通讯作者: 韩太林（1969—），男，教授，博士生导师 E-mail:hantl@cust.edu.cn
作者简介:王啸（1990—），男，博士研究生。E-mail: wangx_work@126.com
基金资助:
总装备部装运局科研项目（2013年）

Adaptive Frequency-change Sampling Strategy of Multi-channel Transient Signal Test

WANG Xiao， HAN Tai-lin， ZHANG Yong-li， LIU Xuan， WANG Yi-jun， GONG Yu-lin

(College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin， China)

Received:2016-11-16 Revised:2016-11-16 Online:2017-12-15

摘要/Abstract

摘要： 为了解决在多通道瞬态信号测试领域，传统测试系统长时间高采样率测试产生的冗余数据对系统存储和传输带来的压力，提出了一种自适应变频算法。该算法采用与传统测试相同的采样率获取原始数据并以时间分段，依据每段信号的频域特征确定瞬态信号发生时刻和持续时间，对非瞬态信号进行二次采样，达到在完整保留瞬态信息的前提下减少冗余数据的目的。在实际爆炸冲击波场测试中进行验证，经过算法处理后数据压缩比大于33，同时保证瞬态信号持续期间数据完整，非瞬态信号持续期间最大误差小于0.5FS. 试验结果表明，该算法可有效减少瞬态测试过程中的冗余数据。

关键词: 信息处理技术, 瞬态测试, 自适应变频, 数据预处理

Abstract: In the multi-channel transient signal test, the redundant data test by the conventional test system at long time and high sampling rate causes the storage and transmission problems. An adaptive frequency-change sampling strategy is presented to solve these problems. The algorithm lets the test system acquire the primary data at the same sample rate as the traditional test systems can, and divides the data in time. According to the frequency domain characteristics of signal in each segment, the occurring time and duration of transient signal are determined. The non-transient signals are resampled to reduce the redundant data, and the transient segments can be saved completely. The data compression ratio is more than 33 after the data is processed by the algorithm, while the duration data of transient signal is fully retained, and the maximum error of the non-transient segments are less than 0.5FS. The experimental results show that the algorithm can effectively reduce the redundant data in transient test. Key

Key words: informationprocessingtechnology, transientsignaltest, adaptivefrequencyconvention, datapre-processing

中图分类号:

TP274⁺.1

王啸, 韩太林, 张永立, 刘轩, 王义君, 宫玉琳. 多通道瞬态信号自适应变频算法[J]. 兵工学报, 2017, 38(6): 1161-1167.

WANG Xiao， HAN Tai-lin， ZHANG Yong-li， LIU Xuan， WANG Yi-jun， GONG Yu-lin. Adaptive Frequency-change Sampling Strategy of Multi-channel Transient Signal Test[J]. Acta Armamentarii, 2017, 38(6): 1161-1167.

参考文献

［1］孙鹏,刘平香,徐百灵.瞬态信号检测方法的研究[J]. 舰船科学技术, 2005, 27(3): 72-76.
SUN Peng, LIU Ping-xiang, XU Bai-ling. The research on the detection of transient signal[J]. Ship Science and Technology, 2005, 27(3): 72-76.(in Chinese)
[2］朱代柱.水下瞬态信号的检测与识别[J]. 声学技术, 2007, 26(4): 592-596.
ZHU Dai-zhu. Detection and discrimination of underwater transient signal[J]. Technical Acoustics,2007, 26(4): 592-596. (in Chinese)
[3］ Jia Z H, Wang W L. Wireless distributed test system based on transient pressure signal detection and recognition[J]. Journal of Measurement Science and Instrumentation, 2016, 7(1): 18-23.
[4］ Liu K Y, Siew W H, Stewart R W, et al. High-speed distributed acquisition network for fast transient measurement[J]. IET Generation Transmission & Distribution, 2014, 8(7):1254-1262.
[5］张世文,龙建华,贾宏志,等. 平面冲击波在有机玻璃中的衰减测试及数值模拟[J]. 兵工学报, 2016, 37(7): 1214-1219.
ZHANG Shi-wen, LONG Jian-hua, JIA Hong-zhi, et al. Measuring and numerical simulation of attenuation of planar shock wave in PMMA[J].Acta Armamentarii, 2016, 37(7): 1214-1219.(in Chinese)
[6］张荣,陈颖,黄海莹,等.超高速多通道瞬态测试系统软硬件设计技术研究[J].计算机测量与控制, 2014, 22(11): 3500-3503.
ZHANG Rong, CHEN Ying, HUANG Hai-ying, et al. Design technique research on ultra-high speed multi-channel transient testing system[J]. Computer Measurement & Control, 2014, 22(11): 3500-3503. (in Chinese)
[7］ Yuan H, Yang Q, Siddiqui A A. Design of portable high-speed data acquisition device for transient measurements[C]∥Proceedings of 2009 9th International Conference on Electronic Measurement & Instruments. Beijing: Electronic Measurement Technology, 2009: 846-849.
[8］张威峰,靳鸿,陈昌鑫. 负延迟和变频采样的瞬态信号低冗余存储方法[J]. 探测与控制学报, 2014, 36(6): 53-56.
ZHANG Wei-feng, JIN Hong, CHEN Chang-xin. Negative delay and frequency-change sampling transient signal redundant storage method[J]. Journal of Detection & Control, 2014, 36(6): 53-56. (in Chinese)
[9］陈昌鑫,靳鸿,马铁华. 冲击加速度存储测试的变频采样策略分析[J]. 爆炸与冲击, 2015, 35(4): 501-506.
CHEN Chang-xin, JIN Hong, MA Tie-hua. Analysis of frequency-change sampling strategy for impact acceleration storage measurement[J]. Explosion and Shock Waves, 2015, 35(4): 501-506. (in Chinese)

[10］舒跃飞, 李新娥,刘雪飞,等. 瞬态高压多点压力测试系统[J]. 中国测试,2016, 42(3): 67-72.
SHU Yue-fei, LI Xin-e, LIU Xue-fei, et al. Transient high-pressure multi-point pressure testing system[J]. China Measurement & Test, 2016, 42(3):67-72. (in Chinese)
[11］ IEEE-Institute of Electrical and Electronics Engineers INC. Physical layer parameters and specifications for 1 000 Mb/s operation over 4-pair of category 5 balanced copper cabling, Type 1000BASE-T[S]. Washington: IEEE Computer Society, 1999.
[12］ Sadovskiy M A. Selected works： geophysics and physics of explosion[M]∥ Sadovskiy M A. Mechanical effects of air shockwaves from explosions according to experiments. Moscow: Nauka Press, 2004:47-52.
[13］ Walter P L. Shock and blast measurement-rise time capability of measurement systems[EB/OL]. http:∥www.pcb.com/techsupport/docs/pcb/TN-11-0904_Calculating_Rise_Time.pdf.

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多通道瞬态信号自适应变频算法

Adaptive Frequency-change Sampling Strategy of Multi-channel Transient Signal Test

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