CNN and ANN Based Tool Condition Monitoring in Gear Machining Using Audio and Vibration Signals Via Cost Effective Sensors
Author:
Affiliation:
1. NSBM Green University,Department of Mechatronic and Industry Engineering,Homagama,Sri Lanka,10200
2. University of Sri Jayewardenepura,Department of Materials and Mechanical Technology,Homagama,Sri Lanka,10200
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10497186/10497189/10497391.pdf?arnumber=10497391
Reference21 articles.
1. Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review;Pimenov;J Intell Manuf, 34,2023
2. Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
3. A sound based method for fault detection with statistical feature extraction in UAV motors
4. Research on the fault analysis method of belt conveyor idlers based on sound and thermal infrared image features
5. Usage of acoustic camera for condition monitoring of electric motors
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