Abstract
In order to solve the problem of low weight detection precision of belt type weight detection equipment at high speed. Firstly, the model of weight detection system was modeled, and then the checkweigher in static, no-load operation, the normal work of the state of the system was checked to analyze time frequency signals.The source of interference and its frequency were found out, then an analysis of its causes and changes were analyzed, determining the index filtering. According to the index, the FIR digital filter was designed to denoise the data. After filtering, two methods were adopted as follows. The weight estimation of asymmetric trimmed mean (Trimmed-mean mass estimator, referred to as TME) was investigated. After taking the last N data and sorting by size, this sequence was cut in an asymmetrical way for average. Moreover, the arithmetic average weight estimation (Averagemassestimation, referred to as AME) used to intercept the last N data, and the average was adopted. The results showed that the weight error of TME was less than 0.3%, and the average error is 0.155%, with the average error of AME 0.758%. It was concluded that the FIR filtering could fast denoise the wave, and the TME weight estimation had higher detection accuracy.
Publication Date
11-28-2017
First Page
96
Last Page
99
DOI
10.13652/j.issn.1003-5788.2017.11.020
Recommended Citation
Jinzhou, XU; Xiudong, SHI; Bin, WANG; and Jin, LI
(2017)
"Fast filtering and asymmetrical trimmed-mean mass estimator for the checkweigher,"
Food and Machinery: Vol. 33:
Iss.
11, Article 20.
DOI: 10.13652/j.issn.1003-5788.2017.11.020
Available at:
https://www.ifoodmm.cn/journal/vol33/iss11/20
References
[1] 杨庆奇. 动态检重秤在食品行业中的应用[J]. 中国食品工业, 2000(7): 39.
[2] GUNATHILAKE D M C C, WASALA W M C B, PALIPANE KB. Design, development and evaluation of a size grading machine for onion[J]. Procedia Food Science, 2016, 6: 103-107.
[3] 韩乔生, 芦金石, 陶学恒, 等. 高效高精度动态静态组合块状食品称重分选系统[J]. 食品与机械, 2016, 32(10): 89-93.
[4] 李光乐. FFS包装机伺服电子定量秤研究[J]. 食品与机械, 2013, 29(4): 118-121.
[5] 毛建东. 动态称重系统的动态补偿和校正[J]. 食品与机械, 2006, 22(2): 84-86.
[6] 李静, 马志宏. 电磁干扰环境下产品失效机理分析[J]. 环境技术, 2010, 28(1): 5-8.
[7] 中达电通公司. 浅析软件滤波在自动控制中的应用[J]. 电力电子, 2007(3): 38-40.
[8] 朱克佳. 浅析无源RC滤波电路在常用电子系统中的应用[J]. 电子制作, 2013(10): 199.
[9] 万如敏, 蔡荣芳. 数据采集系统信号分析处理的硬件软件实现[J]. 电气自动化, 1998, 20(4): 55-57.
[10] 徐岩, 张晓明, 王瑜, 等. 基于离散傅里叶变换的频谱分析新方法[J]. 电力系统保护与控制, 2011, 39(11): 38-43.
[11] 周金治. 基于Matlab与DSP的FIR数字滤波器软硬件实现[J]. 现代电子技术, 2005, 28(17): 1-2.
[12] SAMAD M A, UDDIN J, AHMEDM R. FIR filter design using modified lanczos window function[J]. Advanced Materials Research, 2012, 566: 49-56.
[13] FRAIMAN R, MUNIZ G. Trimmed Means for Functional Data[J]. Test, 2001, 10(2): 419-440.
[14] ISSA I, BOLON P. Adaptive Weighted dα Filter[C]//European Signal Processing Conference, 1996. Eusipco 1996. [S.l.]: IEEE, 2015: 1-4.
[15] NOWAK R D, BARANIUK R G. Adaptive Weighted Highpass Filters Using MultiscaleAnalysis[J]. IEEE Transactions on Image Processing a Publication of the IEEE Signal Processing Society, 1998, 7(7): 1 068-1 074.
[16] ARCE G R. A general weighted median filter structure admitting negative weights[J]. Signal Processing IEEE Transactions on, 1998, 46(12): 3 195-3 205.
[17] 黄俊钦. 测试系统动力学[M]. 北京: 国防工业出版社, 1996: 108-119.