Oren Masory

Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network

Comparisons of neural network models on material removal rate in electrical discharge machining

New progress of Grey System Theory in the new millennium

State of the art electrical discharge machining (EDM)

Scope of in-process measurement, monitoring and control techniques in machining processes—Part 3: In-process techniques for cutting processes and machine tools

On-line robust identification of tool-wear via multi-sensor neural-network fusion

Design for Precision: Current Status and Trends

On-line metal cutting tool condition monitoring.

Learning and optimization of machining operations using computing abilities of neural networks

Manufacturing and measurement of freeform optics

Predictions on surface finish in electrical discharge machining based upon neural network models

Advanced monitoring of machining operations

An Experimental Study of Strategies for Integrating Sensor Information in Machining

Cutting parameters analysis for the development of a milling process monitoring system based on audible energy sound

Geometric error measurement and compensation of machines—An update

Development of multi-objective optimization models for electrochemical machining process

Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods

A review on current research trends in electrical discharge machining (EDM)

Adaptive cutting force control for a machining center by using indirect cutting force measurements

Sensing tool breakage in face milling with a neural network

Application of the Taguchi-genetic method to design an optimal grey-fuzzy controller of a constant turning force system

An Investigation of the Cutting Process for Chip Breaking Monitoring in Turning of Steels

ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH

Tool Condition Monitoring (TCM) — The Status of Research and Industrial Application

Thermal issues in machine tools

Reference-Pulse Circular Interpolators for CNC Systems

Variable gain adaptive control system for turning

Monitoring machining processes using multi-sensor readings fused by artificial neural network

<title>Detection of tool wear using multisensor readings defused by artificial neural network</title>

Adaptive Control System for Turning

Calibration of stewart platforms and other parallel manipulators by minimizing inverse kinematic residuals

Real-Time Estimation of Cutting Process Parameters in Turning