Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals.

Nikou Günnemann Jürgen Pfeffer

Published in: LIDTA@PKDD/ECML (2017)

Keyphrases

convolutional neural networks
condition monitoring
vibration signal
convolutional network
fault diagnosis
monitoring and fault diagnosis
fault detection
operating conditions
computational complexity
image analysis
wavelet transform
image quality
high frequency