Abstract
Aviation structural material is a kind of special material for aircraft components. This material is usually produced in nitrogen-based atmosphere to protect furnace. To ensure the production operation safety and to guarantee product quality, process monitoring technology has been paid essential attention in this field. By analyzing the heating process, details including input monitoring variables, process parameters, and data pretreatment method are determined. Then DPCA method is used to deal with problems occurred in the nitrogen-based atmosphere to protect furnace heating process. Simulation experiment based on data collected from production field is conducted. The DPCA monitoring method is verified to be effective by the experiment results, and is proved with better performance in comparison with results of MPCA.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen ZY (2005) Research progress in nitrogen based atmosphere. Powder Metall Technol 23(4):291–295
Zhang KJ, Shao C (2003) Advanced control techniques for reheating furnace and their development in iron and steel industry. Metall Ind Autom 27(1):11–15
Rong L, Chai TY, Qian XL (2000) New scheme of process control for reheating furnace—intelligent control. Control Decis 15(3):269–273
Lin T, Duan WZ, Li CC, Zuo WH (2008) Comparison of modeling methods for reheating furnace. Comput Simul 25(3):95–99
Chai TY, Wang ZJ, Zhang L (2000) Optimal setting model of reheat furnace temperature. Acta Automatica Sinica 26(1):537–541
Dunia R, Qin SJ (1998) Joint diagnosis of process and sensor faults using principal component analysis. Control Eng Pract 6(4):457–469
Liang J, Qian JX (2003) Chinese. J Chem Eng 11:191
MacGregor JF, Jaeckle C, Kiparissides C, Koutoudi M (1994) Process monitoring and diagnosis by multiblock PLS methods. AIChE J 40:826
Dunia R, Qin SJ (1998) Subspace approach to multidimensional fault identification and reconstruction. AIChE J 44:1813
Wang QH, Yu SM (2004) Selection of number of principal components based on fault diagnosing performance optimization. J Chem Ind Eng 55(2):214–219
Li RY, Rong G (2006) Dynamic process fault isolation by partial DPCA. Chem Biochem Eng Q 20(1):69–77
Wold S (1987) Multi-way principal components and PLS analysis. J Chemom 1:41–56
Chiang LH, Russell EL, Braatz RD (2000) Fault detection and diagnosis in industrial systems. Springer, London
Wise BM, Gallagher NB (1996) The process chemometrics approach to process monitoring and fault detection. J Process Control 6:329
Yue H, Qin SJ (2001) Reconstruction-based fault identification using a combined index. Ind Eng Chem Res 40:4403
Acknowledgments
This work is supported by the National Nature Science Foundation of China under Grant 61374147 and 61004083 and 973 Project No. 2009CB320601 and 863 Project No. 2011AA060204 and the Fundamental Research Funds for the Central Universities N120404014.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
He, D., Zhang, K., Zhang, Z., Sun, S. (2016). Research of Monitoring Method for the Protection of Nitrogen-Based Atmosphere of Heat Treatment Furnaces Based on DPCA. In: Qin, Y., Jia, L., Feng, J., An, M., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49370-0_28
Download citation
DOI: https://doi.org/10.1007/978-3-662-49370-0_28
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49368-7
Online ISBN: 978-3-662-49370-0
eBook Packages: EnergyEnergy (R0)