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Design Of Tool Condition Monitoring Signal Processing Platform Based On ARM & WinCE

Posted on:2010-06-20Degree:MasterType:Thesis
Country:ChinaCandidate:Q XuFull Text:PDF
GTID:2121360275999883Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The precise monitoring of the tool condition is the key to guarantee the metal cutting procedure. There is always the researchers'target that how to develop an exact,reliable and low cost tool monitoring system.Compared with the other tool monitoring technologies,the acoustic emission technology is more suitable to the tool monitoring because it has good performances such as high sensitiveness,respond quickly , and can avoid low frequency disturbances.According to those reasons, this paper research how to avoid the defects and utilize acoustic emission signal's perfomances and eventually establish a simple, reliable and low cost tool wear monitoring and recognize system. Proposed a set of hardware and software solutions based on ARM&WinCE. Primarily works for the following:(1) Describes the correlation of the acoustic emission signal to tool wear con dition,and it is proved that the tool condition is corresponding to the acoustic emission signal;(2) Blue print for the tool monitoring system is studied, including the structure of the whole system, the designing proposal of hardware and software. Data processing and display playform are made up of ARM and WINDOWS CE. EVC(Embe dded Visual C++) is used as graphical interface development tool;(3) Establishes the platform of the signal processing and display. To simplify the hardware design, the MagicARM2410 experimental development platform is selected. In accordance with the requirements of system performance, the interface for ARM is designed.And the operating system and the software of drive is tailored and transplanted to ARM; (4) Carries out the application software design of the signal processing and display platform.Base on the platform of EVC, the paper carries out the modules of the settings of parameters, management of data, signal processing and display et al; The Wavelet and Feature extraction Algorithm is primarily stressed on;(5) Real-time and reliable communication is realized between WINDOWS CE operating system on ARM and Personal Computer.
Keywords/Search Tags:Tool Condition Monitoring, Acoustic Emission, WinCE, Wavelet Denoising, Wavelet Packet
PDF Full Text Request
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