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Development of an intelligent tool condition monitoring system to identify manufacturing tradeoffs and optimal machining conditions
Wo Jae Lee
,
Gamini P. Mendis
, John W. Sutherland
School of Engineering (Behrend)
Research output
:
Contribution to journal
›
Conference article
›
peer-review
40
Scopus citations
Overview
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Keyphrases
Tool Condition Monitoring System
100%
Evolutionary Algorithms
50%
Sensor Data
50%
Sensor-based
50%
Manufacturing Industry
50%
Artificial Intelligence Techniques
50%
Multi-objective Optimization
50%
Machine Tool
50%
Scrap
50%
Manufacturing Operations
50%
Tool Condition
50%
Machining Process
50%
Sustainable Practices
50%
Optimal Operating Conditions
50%
Waste Amount
50%
Pareto-optimal Front
50%
Big Data Infrastructure
50%
Smart Manufacturing
50%
Engineering
Condition Monitoring System
100%
Multiobjective Optimization
50%
Machine Tool
50%
Optimal Operating Condition
50%
Sustainable Practice
50%
Artificial Intelligence Technique
50%
Smart Manufacturing
50%
Big Data
50%
Pareto Optimal Front
50%