FPGA based failure monitoring system for machining processes
- 256 Downloads
To be adapted in an easy and economical manner to several machining processes is a desired characteristic in any proposed tool condition monitoring system so as to detect or avoid failures in machine tools. Many modern rotating machines have a servodriver which may, without sensors, acquire a current signal which is directly related to the cutting forces and then be correlated to the cutting tool conditions. Most of the reported systems are designed to work only in one machining process; yet the novelty of this paper is the fact of presenting a hardware signal processing unit implemented in a single field-programmable gate array (FPGA) for acquisition, conditioning, and basic signal monitoring in several machining processes. The system has been proven in industrial processes as well as in laboratories with satisfactory results in both cases. This model is reconfigurable and scalable so that it may be adapted to diverse conditions as an economical stand-alone unit since it does not require either computers nor microprocessors.
KeywordsHardware signal processing FPGA Monitoring
Unable to display preview. Download preview PDF.
- 5.Bejhem M, Nicolescu C (1999) Machining condition monitoring for automation. In: Proceedings of the 3rd SME international conference in machining & grinding, Cincinnati, OH, USAGoogle Scholar
- 6.Teltz RW, Shawky A, Urbasik K, Elbestawi MA (1995) Sensor based planning and control for open architecture machining. In: Proceedings of the XXIII SME NAMRC conference, Houghton, MI, USAGoogle Scholar
- 13.Goebel K, Yan W (2000) Feature selection for tool wear diagnosis using soft computing techniques. Proc ASME Manu Eng Div 11:157–163Google Scholar
- 20.Burr-Brown Corporation (2003) ADS7862 data sheet. Texas Instruments, Inc.Google Scholar
- 21.Burr-Brown Corporation (1999) DAC7612 data sheet. Texas Instruments, Inc.Google Scholar
- 22.Xilinx (2003) The Spartan-3 FPGA family data sheet. Xilinx, Inc., CA, USAGoogle Scholar
- 23.Mathworks (2002) Filter design toolbox user’s guide. The Mathworks, Inc., Natick, MA, USAGoogle Scholar
- 25.Li X, Tso SK, Wang J (2000) Real-time tool condition monitoring using wavelet transforms and fuzzy techniques. IEEE T Syst Man Cy C 30:(3):352–357Google Scholar
- 26.Wang L, Mehrabi MG, Kannatey-Asibu E (2001) Tool wear monitoring in machining processes through wavelet analysis. In: Proceedings of XXIX SME NAMRC Conference, The University of Florida, Gainesville, FL USAGoogle Scholar
- 29.Poularikas AD (2000) Wavelet transform. The transforms and applications handbook. CRC Press, Boca Raton, FL, USAGoogle Scholar
- 30.Kasashima K, Mori K, Herrera-Ruiz G (1994) Diagnosing cutting tool conditions in milling using wavelet transform. In: Proceedings of the 7th international JSPE conference on production/precision engineering, Chiba, JapanGoogle Scholar