| 免疫优化盲源分离算法在故障诊断中的应用 |
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| 引用本文： | 牛雪梅,黄晋英,潘宏侠等.免疫优化盲源分离算法在故障诊断中的应用[J].振动．测试与诊断,2012,32(2):306-311. |
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| 作者姓名： | 牛雪梅 黄晋英 潘宏侠等 |
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| 作者单位： | 1. 太原科技大学电子信息工程学院 太原,030024
2. 中北大学机械工程与自动化学院 太原,030051 |
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| 基金项目： | 国家自然科学基金资助项目，山西省自然科学基金资助项目 |
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| 摘 要： | 将人工免疫算法用于盲源分离算法,阐述了盲源分离过程,提出了免疫优化盲源分离算法(AIS-ICA算法),针对4组特定信号的混合与分离进行了仿真试验。仿真试验结果表明,该算法具有收敛速度快、分离精度高和稳定性好等优点。将该算法用于齿轮箱振动信号的盲源分离及其故障诊断,增强了振动信号所携带的故障信息,结果表明该算法用于齿轮箱振动信号分离可增强故障信息,降低齿轮箱故障诊断难度。
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| 关 键 词： | 人工免疫 盲源分离 故障诊断 AIS-ICA算法 |
Immune Optimization Algorithm for Blind Source Separation and Its Application on Fault Diagnosis |
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| Affiliation: | Niu Xiemei1,Huang Jinying2,Pan Hongxia2,Men Wenjun1(1.School of Electronics and Information Engineering,Taiyuan University of Science and Technology Taiyuan,030024,China)(2.School of Mechanical Engineering and Automation,North University of China Taiyuan,030051,China) |
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| Abstract: | An artificial immune algorithm is applied to blind source separation.By elaborated on blind source separation procedure,the blind source separation based on immune optimization algorithm is put forward,called the AIS-ICA algorithm.Simulation experiments of mixing and separation for four specific signals are carried out.The experimental results show that the convergence speed and the separation precision are high,and it has good stability.The new algorithm is applied to gearbox vibration signals for blind source separation and fault diagnosis,fault information by vibration signals is enhanced.Results show that the algorithm used to separate vibration signals of gearbox can enhance fault information and reduce difficulty of gearbox fault diagnosis. |
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| Keywords: | artificial immunity blind signal separation fault diagnosis AIS-ICA algorithm |
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