Title :
Fault tree construction on the basis of multivariate time series analysis
Author_Institution :
Sobolev Inst. of Math., Novosibirsk State Tech. Univ.
fDate :
June 26 2004-July 3 2004
Abstract :
In this paper, we suggest a method for fault tree construction on the basis of analysis of multivariate time series. For the construction, the algorithm for dynamic objects recognition based on decision trees is used
Keywords :
decision trees; fault diagnosis; fault trees; time series; decision trees; dynamic objects recognition; fault tree construction; multivariate time series analysis; Classification tree analysis; Decision trees; Fault trees; Heuristic algorithms; Mathematics; Multidimensional systems; Object recognition; Stochastic processes; Time series analysis; Tree graphs;
Conference_Titel :
Science and Technology, 2004. KORUS 2004. Proceedings. The 8th Russian-Korean International Symposium on
Conference_Location :
Tomsk
Print_ISBN :
0-7803-8383-4
DOI :
10.1109/KORUS.2004.1555557
