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Article

Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis

School of Electrical, Electronics and Computer Engineering, University of Ulsan, 44610 Ulsan, Korea
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Received: 4 March 2018 / Revised: 4 April 2018 / Accepted: 6 April 2018 / Published: 7 April 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
The simultaneous occurrence of various types of defects in bearings makes their diagnosis more challenging owing to the resultant complexity of the constituent parts of the acoustic emission (AE) signals. To address this issue, a new approach is proposed in this paper for the detection of multiple combined faults in bearings. The proposed methodology uses a deep neural network (DNN) architecture to effectively diagnose the combined defects. The DNN structure is based on the stacked denoising autoencoder non-mutually exclusive classifier (NMEC) method for combined modes. The NMEC-DNN is trained using data for a single fault and it classifies both single faults and multiple combined faults. The results of experiments conducted on AE data collected through an experimental test-bed demonstrate that the DNN achieves good classification performance with a maximum accuracy of 95%. The proposed method is compared with a multi-class classifier based on support vector machines (SVMs). The NMEC-DNN yields better diagnostic performance in comparison to the multi-class classifier based on SVM. The NMEC-DNN reduces the number of necessary data collections and improves the bearing fault diagnosis performance. View Full-Text
Keywords: bearing fault diagnosis; combined mode classification; deep neural network; stacked denoising autoencoder bearing fault diagnosis; combined mode classification; deep neural network; stacked denoising autoencoder
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MDPI and ACS Style

Duong, B.P.; Kim, J.-M. Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis. Sensors 2018, 18, 1129. https://0-doi-org.brum.beds.ac.uk/10.3390/s18041129

AMA Style

Duong BP, Kim J-M. Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis. Sensors. 2018; 18(4):1129. https://0-doi-org.brum.beds.ac.uk/10.3390/s18041129

Chicago/Turabian Style

Duong, Bach P., and Jong-Myon Kim. 2018. "Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis" Sensors 18, no. 4: 1129. https://0-doi-org.brum.beds.ac.uk/10.3390/s18041129

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