Please wait a minute...
J4  2010, Vol. 44 Issue (8): 1449-1453    DOI: 10.3785/j.issn.1008-973X.2010.08.003
自动化技术、计算机技术     
基于形态小波的转子轴心轨迹提纯
张文斌1,2,周晓军1,沈路1,李俊生2,杨先勇1,林勇1
1.浙江大学 现代制造工程研究所,浙江省先进制造技术重点实验室,浙江 杭州 310027;
2.红河学院工学院, 机械工程及自动化系,云南 蒙自 661100
Purification of rotor axis’s orbit based on morphological wavelet
ZHANG Wen-bin1,2, ZHOU Xiao-jun1, SHEN Lu1, LI Jun-sheng2,
YANG Xian-yong1, LIN Yong1
1. Zhejiang Provincial Key Laboratry of Advanced Manufacturing Technology,
Institute of Modern Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;
2. Department of Mechanical Engineering and Automation, Engineering College, Honghe University, Mengzi 661100, China
 全文: PDF  HTML
摘要:

针对汽轮发电机组轴心轨迹的提纯问题,提出采用形态小波提纯转子轴心轨迹的新方法.形态小波作为一种非线性小波,兼顾数学形态学的形态特征和小波的多分辨率特性,具有良好的细节保留和抗噪声性能.采用形态小波提纯轴心轨迹,无须考虑信号的频谱特征,通过对形态小波分解得到的分量进行阈值降噪处理,然后重构原信号得到提纯的轴心轨迹.将实际数据分别通过传统的Haar小波与形态小波进行处理,结果表明,形态小波在轴心轨迹提纯方面的效果更明显.由于形态小波变换算法只涉及加减和极大、极小运算,算法简单且执行高效,适合汽轮发电机组故障的在线监测和诊断.

Abstract:

Aiming at the purification of rotor axiss orbit in turbine generator unit, a novel approach was proposed based on morphological wavelet. As a kind of nonlinear wavelet, morphological wavelet has both the morphological characteristic of mathematical morphology and  the multiresolution feature of wavelet. It has good performance in keeping details and resisting noises. Using this method to purify rotor axiss orbit, theres no need to consider spectrum characteristic of vibration signal. And purified rotor axiss orbit could be obtained through threshold denoising for components decomposed by morphological wavelet and reconstruction of processed signal. Compared with traditional Haar wavelet, this method is more effective in purification of rotor axiss orbit when processing  data detected. The morphological wavelet algorithm only includes addition, subtraction, maximum and minimum operations, its suitable for online monitor and fault diagnosis of turbine generation unit.

出版日期: 2010-09-21
:  TP 391  
通讯作者: 周晓军,男,教授,博导.     E-mail: sky@cmee.zju.edu.cn
作者简介: 张文斌(1981-),男,云南建水人,博士生,从事车辆检测与信号处理研究. E-mail: georgezwb@sohu.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

张文斌, 周晓军, 沈路, 李俊生, 杨先勇, 林勇. 基于形态小波的转子轴心轨迹提纯[J]. J4, 2010, 44(8): 1449-1453.

ZHANG Wen-Bin, ZHOU Xiao-Jun, CHEN Lu, LI Dun-Sheng, YANG Xian-Yong, LIN Yong. Purification of rotor axis’s orbit based on morphological wavelet. J4, 2010, 44(8): 1449-1453.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.08.003        http://www.zjujournals.com/eng/CN/Y2010/V44/I8/1449

[1] 安连锁,胡爱军,唐贵基,等.采用数学形态滤波器的轴心轨迹提纯[J].动力工程,2005,25(4):550553.
AN Liansuo, HU Aijun, TANG Guiji, et al. Purification of rotor centers orbit with mathematical morphology filters [J]. Journal of Power Engineering, 2005, 25(4): 550553.
[2] GOUTSIAS J,HEIJMANS H J A M.Nonlinear multiresolution signal decomposition schemes—Part I: Morphological pyramids [J].IEEE Trans actions. on Image Processing,2000,9(11):18621876.
[3] HEIJMANS H J A M,GOUTSIAS J.Nonlinear multiresolution signal decomposition schemes—Part II:Morphological wavelets [J].IEEE Trans actions. on Image Processing,2000,9(11):18971913.
[4] SWELDENS W.The lifting scheme:a construction of second generation wavelets [J].SIAM Journal of Mathematical Analysis,1997,29(2):511546.
[5] ZHANG Lijun,XU Jinwu,YANG Debin,et al.Fault feature extraction to equipments using morphological wavelet denoising [C]∥Proceedings of International Conference on Machanical Transmissions.Beijing:Science Press,2006:13951402.
[6] 章立军,阳建宏,徐金梧,等.形态非抽样小波及其在冲击信号特征提取中的应用[J].振动与冲击,2007,26(10):5659.
ZHANG Lijun, YANG Jianhong, XU Jinwu, et al.Morphological undecimated wavelet and its application to feature extraction of impulsive signal [J]. Journal of Vibration and Shock, 2007, 26(10):5659.
[7] 郝如江,马冰玉.形态小波变换在轴承故障信号处理中的应用[J].石家庄铁道学院学报:自然科学版,2007,20(4):3135.
HAO Rujiang, MA Bingyu. Application of morphological wavelet transform on bearing faults signals processing [J]. Journal of Shijiazhuang Railway Institute:Natural Science, 2007,20(4):3135.
[8] 郝如江,卢文秀,褚福磊.滚动轴承故障信号的数学形态学提取方法[J].中国电机工程学报,2008,28(26):6570.
HAO Rujiang, LU Wenxiu, CHU Fulei.Mathematical morphology extracting method on roller bearing fault signals [J]. Proceedings of the CSEE,2008,28(26): 6570.
[9] MARAGOS P, SCHAFER R W.Morphological filters—Part I: Their set theoretic analysis and relation to linear shift invariant filters [J].IEEE Transcations on ASSP, 1987, 35(8): 11531169.
[10] MARAGOS P, SCHAFER R W.Morphological filtersPart II: their relation to median, orderstatistic and stack filters [J].IEEE Transcations on ASSP, 1987, 35(8): 11701184.
[11] SERRA J. Morphological filtering an overview [J].Signal Processing, 1994, 38(1): 311.
[12] 崔屹.图像处理与分析:数学形态学方法及应用[M].北京:科学出版社,2000:113.
[13] 唐贵基,王维珍,胡爱军,等.数学形态学在旋转机械振动信号处理中的应用[J].汽轮机技术,2005,47(4):271272.
TANG Guiji, WANG Weizhen, HU Aijun, et al. Mathematical morphology and its application in processing rotating machinery vibration signals [J]. Turbine Technology, 2005, 47(4): 271272.
[14] 张文斌,周晓军,林勇.广义形态滤波器在振动信号处理中的应用研究[J].农业工程学报,2008,24(6):203205.
ZHANG Wenbin, ZHOU Xiaojun, LIN Yong. Application research of generalized morphological filter in vibration signal processing [J]. Transactions of the CSAE, 2008,24(6): 203205.
[15] ZHANG Wenbin,ZHOU Xiaojun,MU Fahai.Application of morphological filter in purification of rotor centers orbit [C]∥Proceedings1st International Congress on Image and Signal Processing. Sanya,China: IEEE,2008:136140.
[16] 申志强,潘再生,曹长修.基于图像处理的冷轧薄板板形识别[J].浙江大学学报:工学版,2007,41(10):16151619.
SHEN Zhiqiang, PAN Zaisheng, CAO Changxiu. Coldrolled strip plateprofile recognition based on image processing method [J]. Journal of Zhejiang University:Engineering Science, 2007, 41(10):16151619.
[17] 孔庆鹏,宋开臣,陈鹰.最小二乘自适应滤波旋转机械阶比跟踪研究[J].浙江大学学报:工学版,2006,40(9):16481651.
KONG Qingpeng, SONG Kaichen, CHEN Ying. Study on leastsquare adaptive filter order tracking in rotating machinery [J]. Journal of Zhejiang University:Engineering Science, 2006, 40(9):16481651.

[1] 赵建军,王毅,杨利斌. 基于时间序列预测的威胁估计方法[J]. J4, 2014, 48(3): 398-403.
[2] 徐嵩,孙秀霞,何衍. 利用直线段成像特性的摄像机畸变迭代标定方法[J]. J4, 2014, 48(3): 404-413.
[3] 崔光茫, 赵巨峰, 冯华君, 徐之海, 李奇, 陈跃庭. 非均匀介质退化图像快速仿真模型的建立[J]. J4, 2014, 48(2): 303-311.
[4] 张天煜, 冯华君, 徐之海, 李奇, 陈跃庭. 基于强边缘宽度直方图的图像清晰度指标[J]. J4, 2014, 48(2): 312-320.
[5] 刘中, 陈伟海, 吴星明, 邹宇华, 王建华. 基于双目视觉的显著性区域检测[J]. J4, 2014, 48(2): 354-359.
[6] 谢天, 解利军, 宋广华, 郑耀. 基于平面颜色分布的增强现实自然特征注册算法[J]. J4, 2013, 47(12): 2243-2252.
[7] 王相兵,童水光,钟崴,张健. 基于可拓重用的液压挖掘机结构性能方案设计[J]. J4, 2013, 47(11): 1992-2002.
[8] 王贝,李基拓,陆国栋. 空间趋向曲线引导的网格曲面拼接[J]. J4, 2013, 47(11): 2003-2009.
[9] 王进, 陆国栋, 张云龙. 基于数量化一类分析的IGA算法及应用[J]. J4, 2013, 47(10): 1697-1704.
[10] 杨玉婷, 史玉回, 夏顺仁. 基于讨论机制的头脑风暴优化算法[J]. J4, 2013, 47(10): 1705-1711.
[11] 杨冰, 许端清, 杨鑫, 赵磊, 唐大伟. 基于艺术风格相似性规则的绘画图像分类[J]. J4, 2013, 47(8): 1486-1492.
[12] 杨帮华, 何美燕, 刘丽, 陆文宇. 脑机接口中基于BISVM的EEG分类[J]. J4, 2013, 47(8): 1431-1436.
[13] 刘羽, 王国瑾. 以已知曲线为渐进线的可展曲面束的设计[J]. J4, 2013, 47(7): 1246-1252.
[14] 胡根生,鲍文霞,梁栋,张为. 基于SVR和贝叶斯方法的全色与多光谱图像融合[J]. J4, 2013, 47(7): 1258-1266.
[15] 楼晓俊, 孙雨轩, 刘海涛. 聚类边界过采样不平衡数据分类方法[J]. J4, 2013, 47(6): 944-950.