Remaining useful tool life predictions using Bayesian inference

ASME 2013 International Manufacturing Science and Engineering Conference Collocated with the 41st North American Manufacturing Research Conference, MSEC 2013

Volumn 2, Issue , 2013, Pages

  Karandikar, Jaydeep ^a   McLeay, Tom ^b   Turner, Sam ^b   Schmitz, Tony ^a  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; GROWTH CURVES; MACHINING PRODUCTIVITY; RANDOM-WALK METHOD; REMAINING LIFE; ROOT MEAN SQUARE; ROOT MEAN SQUARE VALUES; UPDATED USING;

BAYESIAN NETWORKS; INDUSTRIAL RESEARCH; INFERENCE ENGINES; MANUFACTURE; WEAR OF MATERIALS;

TOOLS;

EID: 84890282624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/MSEC2013-1152     Document Type: Conference Paper

References (9)

1. Dimla E. Snr., Sensor signals for tool-wear monitoring in metal cutting operations - a review of methods, (2000), International Journal of Machine Tools and Manufacture, 40: 10735-1098.
2. Prickett P. W., and Johns, C., (1999), An overview of approaches to end milling tool monitoring, International Journal of Machine Tools and Manufacture, 39: 105-122.
3. Constantinides, N., and Bennett, S., (1987), An investigation of methods for on-line estimation of tool wear, International Journal of Machine Tools and Manufacture, 27 (2): 225-237
4. Ravindra, H. V., Srinivasa, Y.G. and Krishnamurthy, R., (1993), Modelling of tool wear based on cutting forces in turning, Wear, 169: 25-32
5. Rangwala, S., and Dornfeld, D., (1990), Sensor integration using neural networks for intelligent tool condition monitoring, ASME Trans. Journal of Engineering for Industry, 112 (3): 219-228.
6. Elangoavn, M., and Ramachandran., K. I., and Sugmaran, V. Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features, Expert Systems with Applications, 2010, 37: 2059-2065.
7. Dey, S., Stori, J. A., A Bayesian network approach to root cause diagnosis of process variations, International Journal of Machine Tools and Manufacture, 2005, 45(1): 75-91
8. Karandikar, J., Schmitz, T., and Abbas, A., Tool life prediction using Bayesian updating, Transactions of the NAMRI/SME, 39.
9. Tlusty, J., Manufacturing Processes and Equipment, Prentice Hall, Saddle River, NJ, 2000.