Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits.
Mahmoud Kheir-EddineMichael BanfGregor SteinhagenPublished in: CoRR (2022)
Keyphrases
- tool wear
- special purpose
- low cost
- artificial intelligence
- defect prediction
- multi sensor
- general purpose
- cutting tool
- acoustic emission
- condition monitoring
- flank wear
- machining processes
- failure prediction
- real time
- software repositories
- data fusion
- expert systems
- infrared
- software projects
- intelligent systems
- contact force
- computational intelligence
- highly optimized
- image fusion
- knowledge base
- multiscale
- computer aided design
- application development
- source code