Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning.

Mohamed Elforjani Suliman Shanbr

Published in: IEEE Trans. Ind. Electron. (2018)

Keyphrases

acoustic emission
supervised machine learning
condition monitoring
manually annotated
fault diagnosis
active learning
neural network
artificial intelligence
ground truth
sound source
spectral characteristics
machine learning
learning algorithm
hidden markov models