Improved Estimation of End-Milling Parameters from Acoustic Emission Signals Using a Microphone Array Assisted by AI Modelling.
Andrés Sio-SeverJuan Manuel LópezCésar Asensio-RiveraAntonio Vizan-IdoipeGuillermo de ArcasPublished in: Sensors (2022)
Keyphrases
- acoustic emission
- condition monitoring
- tool wear
- parameter estimation
- artificial intelligence
- maximum likelihood estimation
- maximum likelihood
- expert systems
- expectation maximization
- parametric models
- high speed
- estimation process
- image processing
- real time
- probabilistic model
- dynamic environments
- infrared
- pattern recognition