Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

作者: Turker Ince , Serkan Kiranyaz , Levent Eren , Murat Askar , Moncef Gabbouj

DOI: 10.1109/TIE.2016.2582729

关键词:

摘要: … -effective motor fault detection and early fault alert system. In summary, the contributions of the paper are the following. 1) We propose a novel approach for motor fault detection using 1-…

参考文章(34)
Dominik Scherer, Andreas Müller, Sven Behnke, None, Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition Artificial Neural Networks – ICANN 2010. pp. 92- 101 ,(2010) , 10.1007/978-3-642-15825-4_10
Zhiwei Gao, Carlo Cecati, Steven X. Ding, A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches IEEE Transactions on Industrial Electronics. ,vol. 62, pp. 3757- 3767 ,(2015) , 10.1109/TIE.2015.2417501
R. Di Stefano, S. Meo, M. Scarano, Induction motor faults diagnostic via artificial neural network (ANN) international symposium on industrial electronics. pp. 220- 225 ,(1994) , 10.1109/ISIE.1994.333115
Kyusung Kim, A.G. Parlos, R.M. Bharadwaj, Sensorless fault diagnosis of induction motors IEEE Transactions on Industrial Electronics. ,vol. 50, pp. 1038- 1051 ,(2003) , 10.1109/TIE.2003.817693
Clement Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun, CNP: An FPGA-based processor for Convolutional Networks field-programmable logic and applications. pp. 32- 37 ,(2009) , 10.1109/FPL.2009.5272559
Andrea Giantomassi, Francesco Ferracuti, Sabrina Iarlori, Gianluca Ippoliti, Sauro Longhi, Electric Motor Fault Detection and Diagnosis by Kernel Density Estimation and Kullback–Leibler Divergence Based on Stator Current Measurements IEEE Transactions on Industrial Electronics. ,vol. 62, pp. 1770- 1780 ,(2015) , 10.1109/TIE.2014.2370936
G Fu Bin, J Jin Gao, X Jun Li, BS Dhillon, None, Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network Mechanical Systems and Signal Processing. ,vol. 27, pp. 696- 711 ,(2012) , 10.1016/J.YMSSP.2011.08.002
Zhongming Ye, Bin Wu, A. Sadeghian, Current signature analysis of induction motor mechanical faults by wavelet packet decomposition IEEE Transactions on Industrial Electronics. ,vol. 50, pp. 1217- 1228 ,(2003) , 10.1109/TIE.2003.819682
Xu Li, A’nan Zheng, Xunan Zhang, Chenchen Li, Li Zhang, Rolling element bearing fault detection using support vector machine with improved ant colony optimization Measurement. ,vol. 46, pp. 2726- 2734 ,(2013) , 10.1016/J.MEASUREMENT.2013.04.081
W.-Y. Chen, J.-X. Xu, S. K Panda, Application of artificial intelligence techniques to the study of machine signatures international conference on electrical machines. pp. 2390- 2396 ,(2012) , 10.1109/ICELMACH.2012.6350218