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Intelligent condition monitoring of high-power laser systems
R.J. Howlett
, G. Dawe
,
Simon Walters
University of Brighton
Research output
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›
peer-review
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Keyphrases
Power Output
100%
Manufacturing Process
100%
High-power Laser System
100%
System Variables
100%
Intelligent Condition Monitoring
100%
Microelectronics
100%
Rule-based
50%
Intelligent Methods
50%
High Energy
50%
Neural Network Method
50%
Light Amplification
50%
Beam Stability
50%
Drive Current
50%
Ablative
50%
Materials Processing
50%
Unplanned Downtime
50%
Power Meter
50%
Automated Analysis
50%
Power Characteristics
50%
Advanced Technologies
50%
Power Level
50%
Pulse Output
50%
Neodymium-doped Yttrium Aluminum Garnet Laser
50%
Good Beam Quality
50%
Current Power
50%
Aerospace
50%
Industrial Application
50%
High Repetition Rate
50%
Condition Monitoring System
50%
Short Pulse
50%
Motor Vehicle
50%
Lithography
50%
Early Onset
50%
Physical Systems
50%
High-intensity Beam
50%
Power Sensor
50%
Future Problem
50%
Diode-pumped Solid-state
50%
Engineering
Power Output
100%
Manufacturing Process
100%
Condition Monitoring
100%
Power Laser
100%
Laser System
100%
Microelectronics
100%
Current Drive
50%
Physical System
50%
Yttrium-Aluminum-Garnet
50%
Limited Design
50%
Repetition Rate
50%
Condition Monitoring System
50%
Industrial Applications
50%
Lithography
50%
Power Level
50%
Power Meter
50%
Pulse Output
50%
Material Science
Neodymium
100%
Material Processing
100%
Lithography
100%
Yttrium
100%
Garnet
100%
Aluminum
100%