Sensors and Signal Processing for Manufacturing: Presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Anaheim, California, November 8-13, 1992Steven Y. Liang, Charles L. Wu |
Contents
A Fuzzy Logic Approach for MultiSensor Process Monitoring in Machining | 1 |
Adaptive Thresholding for Cutter Breakage in Milling | 17 |
A MultiSensor Method | 33 |
Copyright | |
13 other sections not shown
Other editions - View all
Common terms and phrases
accelerometer acoustic emission adaptive control air curtain algorithm amplitude analysis ANOVA approach artificial neural network ASME average chip CIRP control input cutting conditions cutting force decision tree drill dynamic errors equation experiments factor FDS/DC feed and speed filter adaptive control friction coefficient function fuzzy Green's function grinding hole diameter hole location error hole quality increase integrated lattice filter interface lattice filter adaptive lattice filter parameters lubrication machine tool Manufacturing method MVIM neural net neural network node noise on-line order determination output paper PED-Vol performance Pooled standard deviation prediction error process monitoring radial immersion reduced regression analysis root mean square roundness error shown in Figure Signal Processing significant sparking frequency speed effects square step surface temperature thermal errors thermocouple thermoelectric threshold tool breakage tool condition tool wear tribosensing variables variance vector voltage WEDM wire rupture workpiece