By A. Galip Ulsoy (auth.), Lihui Wang Ph.D., P.Eng., Robert X. Gao Ph.D. (eds.)
Manufacturing structures and methods have gotten more and more advanced, making extra rational decision-making in method regulate a need. larger details accumulating and research recommendations are wanted and tracking is gaining cognizance from researchers around the globe as a framework that might allow those improvements.
Condition tracking and regulate for clever Manufacturing brings jointly the world’s experts on situation tracking to supply a wide remedy of the topic available to researchers and practitioners in production industry.
The e-book offers a large and finished evaluation of the most important parts of analysis in computing device situation tracking and keep an eye on, prior to concentrating on an in-depth therapy of every vital strategy, from multi-domain sign processing for disorder analysis to web-based details supply for real-time regulate.
Condition tracking and keep watch over for clever Manufacturing is a beneficial source for researchers in production and regulate engineering, in addition to practicing engineers in industries from car to packaging manufacturing.
The Springer sequence in complicated Manufacturing publishes the easiest educating and reference fabric to aid scholars, educators and practitioners in production know-how and administration. This foreign sequence comprises complicated textbooks, learn monographs, edited works and convention complaints protecting all topics in complex production. The sequence specializes in new issues of curiosity, new remedies of extra conventional parts and assurance of the functions of knowledge and verbal exchange know-how (ICT) in manufacturing.
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Additional resources for Condition Monitoring and Control for Intelligent Manufacturing
120, pp. 259. Stephenson, D. , 1991, Assessment of steady-state metal cutting temperature models based on simultaneous infrared and thermocouple data, ASME J. of Engineering for Industry, Vol. 113, pp. 121. D'Errico, G. , Calzavarini, R. and L. Settineri, 1994, “Experiments on self tuning regulation of cutting temperature in turning process,” Proc. of the IEEE Conference on Control Applications, 2, IEEE, Piscataway, 1165. , Ulsoy, A. G. and C. L. Wu, 1996, “Supervisory Drilling Control,” ASME J.
13. Force response – nonlinear model-based force controller 22 A. Galip Ulsoy Next, an adaptive force controller is designed. 12) where T is the gain and is assumed to be unknown. 12]. 17) The parameter P is the covariance and the parameter H is the residual. Estimating the model parameters online is a method for accounting for model inaccuracies; however, the overall system becomes complex, and chaotic behavior can result. 15. Both adaptive and model-based approaches successfully regulate the cutting force while accounting for process changes in very different ways.
K. and A. G. Ulsoy, 1989, “Model Reference Adaptive Force Control in Milling,” ASME J. of Engineering for Industry, Vol. 111, No. 1, pp. 13–21. 32 A. 113] Turkay, O. and A. G. Ulsoy, 1988, “Frequency versus time domain parameter estimation: application to a slot milling operation,” Mechanical Systems and Signal Processing, Vol. 2, No. 3, pp. 265–277. Landers, R. G. and Ulsoy A. , 1996, “Machining force control including static, nonlinear effects,” Japan-USA Symp. on Flexible Automation, 2, ASME, NY, 983.
Condition Monitoring and Control for Intelligent Manufacturing by A. Galip Ulsoy (auth.), Lihui Wang Ph.D., P.Eng., Robert X. Gao Ph.D. (eds.)