NEW CONCEPTS ON MULTI-SENSOR MONITORING FOR RECONFIGURABLE MACHINING SYSTEMS

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

Volumn 1998-R, Issue , 1998, Pages 589-594

  Kannatey Asibu, Elijah ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER HARDWARE; SIGNAL PROCESSING;

BASIC CONCEPTS; FUNDAMENTAL BUILDING BLOCKS; MACHINING SYSTEMS; MANUFACTURING PROCESS; MONITORING SYSTEM; MULTI SENSOR; PRODUCTS QUALITY; RECONFIGURABLE MACHINING SYSTEMS; SENSOR MONITORING; SENSOR SIGNALS;

MONITORING;

EID: 28444466087     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IMECE1998-1072     Document Type: Conference Paper

References (6)

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2. Liu, T. I., and Wu, S. M„ 1990, “On-Line Detection of Drill Wear,” ASME, Journal of Engineering forIndustry, Vol.112, pp. 299-302.
3. Pandit, S. M., and Kashou, S., 1982, “A Data Dependent Systems Strategy of On-Line Tool Wear Sensing,” ASME, Journal of Engineering for Industry, Vol. 104, pp. 217-223.
4. Ramamurthi, K., 1993, "System and Method Utilizing a Real Time Expert System for Tool Life Prediction and Tool Wear Diagnosis,” Texas Instruments Inc. USA, USP. 05251144
5. Rangwala, S., and Dornfeld, D., 1987, “Integration of Sensors via Neural Networks for Detection,” Proc. Winter Annual Meeting of the ASME, PED Vol. 25, pp. 109-117.
6. Thomas, C. E„ Lee, E„ Wildes, D. G„ 1989, “Cutting Tool Wear Detection Apparatus and Method," General Electric Company, USA, USP. 04831365.