Fault Diagnosis for an Automatic Shell Magazine Using FDA and ELM

• Published in: Advanced Data Mining and Applications Vol. 11323; pp. 255 - 262
• Main Authors: Zhao, Qiangqiang, Tao, Lingfeng, Li, Maosheng, Hong, Peng
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Automatic shell magazine; Extreme learning machine; Fault diagnosis; Functional data analysis

A fault diagnosis method for an automatic shell magazine based on Functional Data Analysis (FDA) and Extreme Learning Machine (ELM) is presented in this paper. A virtual prototype model of the automatic shell magazine includes a mechanical model and control model is built in RecurDyn and Simulink. T...