Title :
Diesel fuel injection system faults diagnosis based on fuzzy injection pressure pattern recognition
Author :
He, Yong ; Feng, Lei
Author_Institution :
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
Abstract :
On-line fuel injection system faults detection and diagnosis is a desirable function for diesel engines to ensure reliable operation. This paper introduces a fuzzy pattern recognition approach for assessing diesel fuel injection pressure patterns and detecting common fuel injection system faults based on the processed injection pressure data. A validation study indicated that this method was capable of screening out the characteristic parameters of the fuel injection system health condition. On-line diagnostic tests resulted in an over 80% of correct diagnoses on fuel injection system faults from 100 validation cases.
Keywords :
diesel engines; fault diagnosis; fuzzy set theory; pattern recognition; reliability; diesel engines; diesel fuel injection system; engine reliability; faults diagnosis; fuzzy injection pressure pattern recognition; injection pressure data; online fuel injection system faults detection; Clamps; Diesel engines; Fault detection; Fault diagnosis; Fuels; Fuzzy systems; Pattern recognition; Pressure measurement; Reliability engineering; Sensor phenomena and characterization;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340935