Title :
Online Intelligent Monitoring System of Grinding Process Based on Process Modeling
Author :
Zheng Zhao ; Chenggang Hou ; Shengnan Duan
Author_Institution :
Sch. of Mech. Eng., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
Grinding is a major method of manufacturing. However, due to the grinding mechanism is quite complex and the grinding process is requiring high precision monitoring", "it is much more difficult to monitor grinding process than other machining methods. Considering the safety, efficiency and quality of grinding process, this thesis accomplish monitoring the grinding contact, grinding collision and grinding burn status of grinding process by using Acoustic emission technology. Grinding contact, grinding burn support vector machine classifier by process modeling and the entire online intelligent monitoring system platform has been designed.
Keywords :
acoustic emission; combustion; grinding; mechanical contact; pattern classification; process monitoring; production engineering computing; quality control; safety; support vector machines; acoustic emission technology; grinding burn status; grinding collision; grinding contact; grinding efficiency; grinding mechanism; grinding process; grinding quality; grinding safety; machining method; online intelligent monitoring system; process modeling; support vector machine classification; Accuracy; Acoustic emission; Educational institutions; Kernel; Mathematical model; Monitoring; Support vector machines; Acoustic emission; Grinding process; Process modeling; Support vector machine;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-5034-1
DOI :
10.1109/IMCCC.2012.80
