Gearbox Fault Diagnosis Based on AIS-ICA Algorithm

摘要：

　　Immune theory is applied to independent component analysis in this paper.By elaborated on blind source separation procedure,the blind source separation based on immune optimization algorithm is put forward,that is AIS-ICA algorithm.The paper carried out simulation experiments of mixing and separation for four specific signals.The experimental results show that the convergence speed and separation precision is high,and it has good stability.The new algorithm is used to gearbox vibration signals for blind source separation and fault diagnosis,fault information carried by vibration signals enhanced.Results show that the algorithm used to separate vibration signals of gearbox can greatly enhance fault information,reducing difficulty of gearbox fault diagnosis.

关键词： Artificial immunity Independent Components Analysis AIS-ICA fault diagnosis

作者: Jinying Huang Hongxia Pan Yahui Lu Yue LI

作者单位: School of Mechanical Engineering & Automation, North University of China,Shanxi,China Beijing Special Vehicle Institute, Beijing, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4476-4480

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）