Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks

• Published in: IEEE transactions on industrial informatics Vol. 13; no. 4; pp. 2106 - 2116
• Main Authors: Hu, Hexuan, Tang, Bo, Gong, Xuejiao, Wei, Wei, Wang, Huihui
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.08.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Artificial neural networks; Big Data; Biological neural networks; Bogies; Data management; Data mining; deep neural networks; diagnostic accuracy rate; Diagnostic systems; Fault diagnosis; Faults; Feature extraction; High speed rail; high-speed train with big data; Mechanical properties; Monitoring; Neural networks; Reliability; Signal processing; Trains; Undercarriages

Bogies are an important component of high-speed trains. The level of mechanical performance of bogies has a major influence on the safety and reliability of high-speed train. Therefore, conducting fault diagnoses on bogies with big data is very important. Fault mechanisms of bogies are very complex,...