Health assessment of EMU based on convolutional neural network
Author:
Affiliation:
1. University of Technology HuaXia College, Wuhan, Hubei, China
Publisher
ACM Press
Reference14 articles.
1. Qin A, Hu Q, Lv Y, et al. (2019). Concurrent Fault Diagnosis Based on Bayesian Discriminating Analysis and Time Series Analysis with Dimensionless Pareameters. IEEE Sensors Journal, Vol.19, No.6.
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3. Huang J, Chen G, Shu L, et al. (2016). An Experimental Study of Clogging Fault Diagnosis in Heat Exchangers Based on Vibration Signals. 2016 IEEE International Conference on Mechatronics and Automation, pp.748--753.
4. Jiang Yuchen and Shen Yin (2017). Recent results on key performance indicator oriented fault detection using the DB-KIT toolbox. IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, October, 2017.
5. Jiang Yuchen and Shen Yin (2018). Recent Advances in Key-Performance-Indicator Oriented Prognosis and Diagnosis with a MATLAB Toolbox: DB-KIT. IEEE Transactions on Industrial Informatics, pp (99), 1--1.
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