基于乏信息系统的本征融合技术

基金项目: 国家自然科学基金项目(5037501150675011)

Eigen-fusion technique based on information poor system

1.
Department of Mechatronical Engineering, Luoyang Institute of Science and Technology, Luoyang, 471023 China
2.
College of Mechatronical Engineering, Henan University of Science and Technology, Luoyang, 471003 China
3.
School of Instrumental Science and Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191 China

摘要: 提出基于乏信息系统的本征融合技术以模拟小样本条件下的未知分布.采用隶属函数法、最大隶属度法、自助法、灰自助法、算术平均值法和最大熵法等多种数学思想,从不同侧面分析各个个体的特征信息并进行融合,推断出总体的概率分布.滚动轴承噪声的试验研究表明,本征融合技术可以有效地模拟乏信息系统的概率分布.
- 滚动轴承 /
- 噪声 /
- 概率分布 /
- 小样本
Abstract: The eigen-fusion technique based on the information poor system was proposed to simulate an unknown distribution under the condition of small sample.Analyzing and fusing the characteristic information of every individual from different view sides,the probability distribution of a population was inferred,by using multifold mathematical ideas such as membership function,maximum membership grade,bootstrap,grey bootstrap,arithmetic mean,and maximum entropy.The experiment on rolling bearing noise shows that the eigen-fusion technique can effectively simulate the probability distribution of the information poor system.
- rolling bearing /
- noise /
- probability distribution /
- small sample

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