Title :
A Fuzzy Model for Estimating the Remaining Lifetime a Diesel Engine
Author :
Fanegan, Julius ; Ralescu, Anca ; Ueda, Takahiro
Author_Institution :
Univ. of Cincinnati Cincinnati, Cincinnati
Abstract :
We present a novel approach used in conjunction with Sugeno and Yasukawa qualitative modeling algorithm. Its main feature is a reduction of the output space before the output data are clustered. The data used in this paper come from nine diesel engine trucks, and for each diesel engine 13 sensor variables are measured. The objective is to develop a fuzzy model for predicting the remaining lifetime of a diesel engine.
Keywords :
diesel engines; fuzzy set theory; remaining life assessment; diesel engine; fuzzy model; remaining lifetime estimation; Clustering algorithms; Diesel engines; Fuzzy sets; Fuzzy systems; Input variables; Life estimation; Lifetime estimation; Maximum likelihood estimation; Principal component analysis; System identification; PCA; fuzzy modeling; remaining engine lifetime;
Conference_Titel :
Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-1213-7
Electronic_ISBN :
1-4244-1214-5
DOI :
10.1109/NAFIPS.2007.383886
