摘要
介绍了空压机油液综合故障诊断的智能化多目标优化方法,先分析了空压机常见的故障以及油液综合诊断方法,然后运用多目标线性规划方法对空压机油液故障诊断方法进行优化设计,建立了空压机油液综合故障诊断的多目标智能优化方法模型。接着,运用Matlab编程进行仿真计算,得到频率模态图,将频率模态代入到空压机油液系统得到频率响应,从而判断空压机的故障类型和故障程度。实现故障诊断的多目标智能化控制,为空压机故障诊断方法的研究提供了可靠的理论依据。
This paper introduced the muhi-objective optimization method for intelligent fault diagnosis of air compressor oil, the first analysis of the air compressor common faults and oil synthetic diagnosis method, and then use the multiple objective linear programming method to optimize the design of hydraulic fault diagnosis method for air compressor oil, the air compressor oil synthetic faults diagnosis of multi goal intelligent optimization model. Then, the simulation using Matlab programming, the frequency mode, the mode frequency into the air com- pressor oil system frequency response, so as to judge the fault type and degree of air compressor. The goal of intelligent fault diagnosis in control, and provide a reliable theoretical basis for the research of fault diagnosis method for air compressor.
出处
《中国农机化学报》
北大核心
2014年第2期306-309,322,共5页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金青年基金(51305152)--基于SPC反馈质量特性的农机装备可靠性稳健设计的研究
关键词
智能多目标
空压机
油液故障诊断
MATLAB仿真
线性规划
频率响应
intelligent multiobjective
air compressor
oil fault diagnosis
Matlab simulation
linear programming
frequency response
