Title
Fault Diagnosis And Prevention Of Flow Sensor For Fuel Supply System
Abstract
The fuel supply system plays an important role in combustion engines, and thus a higher reliability is required. A novel fault diagnosis and prevention strategy are presented in this paper. The diagnosis model is built up based on deviation calculation by introducing the flow sensor principle, which take reference flow rate and measured flow rate as criteria. The estimation function between the fuel flow rate, outlet pressure and pump rotating speed is obtained, which could be used to estimate the fuel flow rate. The estimation method can provide the flow rate to the entire system and then keep the fuel supply system working reliably even when the sensors are in failure. Experimental results show the effectiveness of the proposed strategy in terms of accurate fault detection and robust prevention in the fuel supply system.
Year
DOI
Venue
2018
10.1109/IECON.2018.8591151
IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
Keywords
Field
DocType
fault diagnosis, fuel supply, flow sensor
Combustion,Fault detection and isolation,Control theory,Engineering,Flow sensor,Volumetric flow rate
Conference
ISSN
Citations 
PageRank 
1553-572X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yaoting Xue100.68
Weizhou Yang201.01
Zhen Zhang339462.54
Yongheng Yang43015.47
Ruiqing Ma5184.45