| 基于双谱熵模型的故障模式识别 |
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| 引用本文： | 黄晋英,潘宏侠,毕世华,崔宝珍.基于双谱熵模型的故障模式识别[J].兵工学报,2012,33(6):718-723. |
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| 作者姓名： | 黄晋英 潘宏侠 毕世华 崔宝珍 |
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| 作者单位： | (1.中北大学 机械工程与自动化学院, 山西 太原 030051; 2.北京理工大学 宇航学院, 北京 100081) |
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| 基金项目： | 国家自然科学基金，山西省自然科学基金 |
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| 摘 要： | 提出利用双谱计算信号的双谱熵，并作为特征参量进行故障模式识别的方法。分析了振动信号双谱的特征，在子空间分布概率下，推导了基于能量分布的双谱熵计算方法。在理论推导分析的基础上，进行了某齿轮箱在4种工况下的振动信号提取实验，建立了齿轮箱故障模式识别BP神经网络。最后将双谱熵特征参量作为输入，对设置了4种故障工况的齿轮箱进行了故障模式识别，成功地判别了4种工况，验证了方法的有效性。
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| 关 键 词： | 信息处理技术 双谱熵 故障 模式识别 特征参量 齿轮箱 |
| 收稿时间： | 2010-03-05 |
Fault Pattern Recognition Based on Bispectrum Entropy Model |
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| HUANG Jin-ying
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PAN Hong-xia
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BI Shi-hua
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CUI Bao-zhen.Fault Pattern Recognition Based on Bispectrum Entropy Model[J].Acta Armamentarii,2012,33(6):718-723. |
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| Authors: | HUANG Jin-ying PAN Hong-xia BI Shi-hua CUI Bao-zhen |
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| Affiliation: | (1.School of Mechanical Engineering and Automation, North University of China, Taiyuan 030051, Shanxi, China;2.School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China) |
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| Abstract: | A fault pattern recognition method was developed on the basis of information entropy and bispectrum theory.The bispectrum features of vibration signal were analyzed.And a bispectrum entropy algorithm based on energy distribution was derived under the condition of subspace distribution probability.Then,the vibration signals of a gearbox under four conditions were extracted experimentally.And a BP neural network for the fault pattern recognition was established by using the bispectrum entropy feature as input.Finally,this method was verified by successfully recognizing four fault patterns of the gearbox. |
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| Keywords: | information processing bispectrum entropy fault pattern recognition feature parameter gearbox |
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