Fault Forecast Technology of Machine Based on Grey Theory for Aero-Engine Product Line

Article Preview

Abstract:

Facing to the dynamic process of machine running, grey theory is introduced to increase the accuracy of forecast on machine fault. Firstly the mathematical model of the machine fault is constructed according to the life cycle of machine. Mean time between failures is defined as a tool to describe the fault on the machine. Moreover the fault is predicted respectively according to amount of data sample. And the produce to build the grey information model is given in this paper in detail. Finally an actual aero-engine casing production line is presented as an example to validate the algorithms in this paper. The results show that the fault forecast based on grey theory has high accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

718-722

Citation:

Online since:

September 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xiao xinping, Song zhongmin, Li feng.Gray technology and its application[M].Beijing: science press.(2005)

Google Scholar

[2] A prediction method using the grey model GMC(1, n) combined with the grey relational analysis: a case study on Internet access population forecast[J], Applied Mathematics and Computation .169(1) (2005) 198-217

DOI: 10.1016/j.amc.2004.10.087

Google Scholar

[3] Ma junlin,Wang chunyan. Study on bathtub curve expression and application[J]. diesel locomotives. 44(12) (1997) 56-57.

Google Scholar

[4] Huang jingde, Wang xingui, Wang zuguang. Dynamic Fuzzy Synthetic Judgement Method and Its Application in Fault Forecast[J]. Fuzzy Systems and Mathematics. 15(4) (2001) 96-99.

Google Scholar