Fault diagnosis and prevention of flow sensor for fuel supply system

Yaoting Xue, Weizhou Yang, Zhen Zhang, Yongheng Yang, Ruiqing Ma

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018)
Antal sider5
ForlagIEEE Press
Publikationsdatookt. 2018
Sider5395-5399
Artikelnummer8591151
ISBN (Trykt)978-1-5090-6685-8
ISBN (Elektronisk)978-1-5090-6684-1
DOI
StatusUdgivet - okt. 2018
Begivenhed44th Annual Conference of the IEEE Industrial Electronics Society - Omni Shoreham Hotel, Washington, USA
Varighed: 21 okt. 201823 okt. 2018
http://www.iecon2018.org/

Konference

Konference44th Annual Conference of the IEEE Industrial Electronics Society
LokationOmni Shoreham Hotel
LandUSA
ByWashington
Periode21/10/201823/10/2018
Internetadresse
NavnProceedings of the Annual Conference of the IEEE Industrial Electronics Society
ISSN1553-572X

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  • Citationsformater

    Xue, Y., Yang, W., Zhang, Z., Yang, Y., & Ma, R. (2018). Fault diagnosis and prevention of flow sensor for fuel supply system. I Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) (s. 5395-5399). [8591151] IEEE Press. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society https://doi.org/10.1109/IECON.2018.8591151