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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 3451897, 13 pages
Research Article

Process Monitoring and Fault Diagnosis for Piercing Production of Seamless Tube

1Information Science & Engineering School, Northeastern University, Shenyang 110004, China
2College of Resources & Civil Engineering, Northeastern University, Shenyang 110004, China

Received 8 June 2016; Revised 29 August 2016; Accepted 8 September 2016

Academic Editor: Pak-Kin Wong

Copyright © 2016 Dong Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the development of modernization, the application of seamless tube becomes widespread. As the first process of seamless tube, piercing is vital for the quality of the tube. The solid round billet will be transformed into a hollow shell after the piercing process. The defects of hollow shell cannot be cleared in the following process, so a monitoring model for the quality of the hollow shell is important. But the piercing process is very complicated, and a mechanism model is difficult to build between the qualities of the hollow shell and measurement variables. Furthermore, an intelligent model is needed. We established two piercing process monitoring and fault diagnosis models based on the multiway principal component analysis (MPCA) model and the multistage MPCA model, respectively, and furthermore we made a comparison between these two concepts. We took three ways to divide the period based on process, -means, and GA, respectively. Simulation experiments have shown that the multistate MPCA method has advantage over the MPCA method and the model based on the genetic algorithm (GA) can monitor the process effectively and detect the faults.