A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance Attribute Projection under Various Speed Conditions

Intelligent fault diagnosis is a promising tool for processing mechanical big data. It can quickly and efficiently process the collected signals and provide accurate diagnosis results. However, rotating machinery often works under various speed conditions, which makes it difficult to extract fault f...

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Hauptverfasser: Huijie Ma, Shunming Li, Zenghui An
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2019-04-01
Schriftenreihe:Applied Sciences
Schlagworte:
rolling bearing
fault diagnosis
variable speed condition
convolutional neural network
nuisance attribute projection
Online Zugang:https://www.mdpi.com/2076-3417/9/8/1603
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