Article
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signal
2017-01-30
Abstract excerpt
Intelligent fault diagnosis techniques have replaced the time-consuming and unreliable human analysis, increasing the efficiency of fault diagnosis. Deep learning model can improve the accuracy of intelligent fault diagnosis with the help of its multilayer nonlinear mapping ability. This paper has proposed a novel method named Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN). The proposed m...
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Identifiers and source
- Literature Corpus work
- 40fdd88d-a854-548e-9b73-6693c0645ca4
- DOI
- 10.20944/preprints201701.0132.v1
