相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations
E. Garcia Plaza et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Development of a dynamic surface roughness monitoring system based on artificial neural networks (ANN) in milling operation
AmirMahyar Khorasani et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)
Signal processing and pattern recognition for surface roughness assessment in multiple sensor monitoring of robot-assisted polishing
Tiziana Segreto et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)
Surface roughness monitoring by singular spectrum analysis of vibration signals
E. Garcia Plaza et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations
Cunji Zhang et al.
SENSORS (2016)
An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations
PoTsang B. Huang
JOURNAL OF INTELLIGENT MANUFACTURING (2016)
Comparison of Sensors Signal Quality when Drilling Inconel 718
Martin Eckstein et al.
9TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING - CIRP ICME '14 (2015)
Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning
M. S. H. Bhuiyan et al.
JOURNAL OF MANUFACTURING SYSTEMS (2014)
Monitoring Architectural Heritage by Wireless Sensors Networks: San Gimignano - A Case Study
Alessandro Mecocci et al.
SENSORS (2014)
Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing
Beatriz de Agustina et al.
SENSORS (2014)
Efficient Security Mechanisms for mHealth Applications Using Wireless Body Sensor Networks
Prasan Kumar Sahoo
SENSORS (2012)
Monitoring of Drilling Process for Highly Stressed Aeroengine Components
Martin Eckstein et al.
FIFTH CIRP CONFERENCE ON HIGH PERFORMANCE CUTTING 2012 (2012)
Use of NC kernel data for surface roughness monitoring in milling operations
Christian Brecher et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)
Surface roughness monitoring application based on artificial neural networks for ball-end milling operations
G. Quintana et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2011)
Using kernel data in machine tools for the indirect evaluation of surface roughness in vertical milling operations
Guillem Quintana et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2011)
Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process
M. Correa et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
In-process surface roughness prediction using displacement signals from spindle motion
Hun-Keun Chang et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2007)
The development of an in-process surface roughness adaptive control system in turning operations
Julie Z. Zhang et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2007)
Data acquisition and monitoring in machine tools with CNC of open architecture using internet
F Ferraz et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
Accurate estimation of surface roughness from texture features of the surface image using an adaptive neuro-fuzzy inference system
KC Lee et al.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY (2005)
Machining process monitoring and control: The state-of-the-art
SY Liang et al.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2004)
Process monitoring to assist the workpiece surface quality in machining
DA Axinte et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2004)
Identification of common sensory features for the control of CNC milling operations under varying cutting conditions
YM Ertekin et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)
Predicting surface roughness in machining: a review
PG Benardos et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)
Surface quality monitoring for process control by on-line vibration analysis using an adaptive spline wavelet algorithm
GY Luo et al.
JOURNAL OF SOUND AND VIBRATION (2003)