Convolutional Neural Network Based Fault Detection for Rotating Machinery

• Published in: Journal of sound and vibration Vol. 377; pp. 331 - 345
• Main Authors: Janssens, Olivier, Slavkovikj, Viktor, Vervisch, Bram, Stockman, Kurt, Loccufier, Mia, Verstockt, Steven, Van de Walle, Rik, Van Hoecke, Sofie
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2016
• Subjects: Condition monitoring; Convolutional neural network; Fault detection; Feature learning; Machine learning; Vibration analysis; Condition monitoring; Feature learning; Fault detection; Convolutional neural network; Machine learning; Vibration analysis

Vibration analysis is a well-established technique for condition monitoring of rotating machines as the vibration patterns differ depending on the fault or machine condition. Currently, mainly manually-engineered features, such as the ball pass frequencies of the raceway, RMS, kurtosis an crest, are...