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Application of Cerebellar Model Articulation Controller (CMAC) with a Modified Algorithm in Monitoring Machine Performance Degradation
引用本文:ZHANGJing-yong ZHANGLei CAOQi-xin JayLee. Application of Cerebellar Model Articulation Controller (CMAC) with a Modified Algorithm in Monitoring Machine Performance Degradation[J]. 国际设备工程与管理, 2005, 10(1): 8-12
作者姓名:ZHANGJing-yong ZHANGLei CAOQi-xin JayLee
作者单位:[1]InstituteofRobotics,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China [2]ResearchCenterofIntelligentMaintenanceSystem,UniversityofWisconsin-Milwaukee9100SwanRd.Milwaukee,WI53224,USA
基金项目:NationalNaturalScienceFoundationofChinaunderGrantNo. 50128504(YoungOverseasInvestigatorAward)
摘    要:On the basis of CMAC-PDM (Pattern Discrimination Model) , a novel algorithm of CMAC for monitoring machine degradation is proposed in this paper. The output of CMAC with the novel algorithm represents the state of a machine and PDM is not needed. The principle was explained by analyzing the modified mapping process of CMAC. The novel CMAC is applied to a tool condition monitoring system and two methodologies (novel CMAC and CMAC-PDM) are compared. The results prove that the novel algorithm is feasible and its computational complexity is reduced significantly.

关 键 词:小脑模型清晰控制 修正算法 CMAC 环境监测 机械降解

Application of Cerebellar Model Articulation Controller(CMAC) with a Modified Algorithm in Monitoring Machine Performance Degradation
ZHANG Jing-yong ,ZHANG Lei ,CAO Qi-xin ,Jay Lee. Application of Cerebellar Model Articulation Controller(CMAC) with a Modified Algorithm in Monitoring Machine Performance Degradation[J]. International Journal of Plant Engineering and Management, 2005, 10(1): 8-12
Authors:ZHANG Jing-yong   ZHANG Lei   CAO Qi-xin   Jay Lee
Affiliation:ZHANG Jing-yong 1,ZHANG Lei 1,CAO Qi-xin 1,Jay Lee 2 1.Institute of Robotics,Shanghai Jiaotong University,Shanghai 200030,P.R.China 2.Research Center of Intelligent Maintenance System,University of Wisconsin-Milwaukee 9100 Swan Rd. Milwaukee,WI 53224,USA
Abstract:On the basis of CMAC-PDM (Pattern Discrimination Model), a novel algorithm of CMAC for monitoring machine degradation is proposed in this paper. The output of CMAC with the novel algorithm represents the state of a machine and PDM is not needed. The principle was explained by analyzing the modified mapping process of CMAC. The novel CMAC is applied to a tool condition monitoring system and two methodologies (novel CMAC and CMAC-PDM) are compared. The results prove that the novel algorithm is feasible and its computational complexity is reduced significantly.
Keywords:CMAC   machine degradation   condition monitoring
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