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Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems
The diesel engine is the main power source for most agricultural vehicles. The control of diesel engine emissions is an important global issue. Fuel injection control systems directly affect fuel efficiency and emissions of diesel engines. Deterioration faults, such as rack deformation, solenoid val...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231176/ https://www.ncbi.nlm.nih.gov/pubmed/22163597 http://dx.doi.org/10.3390/s100807157 |
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author | Tsai, Hsun-Heng Tseng, Chyuan-Yow |
author_facet | Tsai, Hsun-Heng Tseng, Chyuan-Yow |
author_sort | Tsai, Hsun-Heng |
collection | PubMed |
description | The diesel engine is the main power source for most agricultural vehicles. The control of diesel engine emissions is an important global issue. Fuel injection control systems directly affect fuel efficiency and emissions of diesel engines. Deterioration faults, such as rack deformation, solenoid valve failure, and rack-travel sensor malfunction, are possibly in the fuel injection module of electronic diesel control (EDC) systems. Among these faults, solenoid valve failure is most likely to occur for in-use diesel engines. According to the previous studies, this failure is a result of the wear of the plunger and sleeve, based on a long period of usage, lubricant degradation, or engine overheating. Due to the difficulty in identifying solenoid valve deterioration, this study focuses on developing a sensor identification algorithm that can clearly classify the usability of the solenoid valve, without disassembling the fuel pump of an EDC system for in-use agricultural vehicles. A diagnostic algorithm is proposed, including a feedback controller, a parameter identifier, a linear variable differential transformer (LVDT) sensor, and a neural network classifier. Experimental results show that the proposed algorithm can accurately identify the usability of solenoid valves. |
format | Online Article Text |
id | pubmed-3231176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32311762011-12-07 Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems Tsai, Hsun-Heng Tseng, Chyuan-Yow Sensors (Basel) Article The diesel engine is the main power source for most agricultural vehicles. The control of diesel engine emissions is an important global issue. Fuel injection control systems directly affect fuel efficiency and emissions of diesel engines. Deterioration faults, such as rack deformation, solenoid valve failure, and rack-travel sensor malfunction, are possibly in the fuel injection module of electronic diesel control (EDC) systems. Among these faults, solenoid valve failure is most likely to occur for in-use diesel engines. According to the previous studies, this failure is a result of the wear of the plunger and sleeve, based on a long period of usage, lubricant degradation, or engine overheating. Due to the difficulty in identifying solenoid valve deterioration, this study focuses on developing a sensor identification algorithm that can clearly classify the usability of the solenoid valve, without disassembling the fuel pump of an EDC system for in-use agricultural vehicles. A diagnostic algorithm is proposed, including a feedback controller, a parameter identifier, a linear variable differential transformer (LVDT) sensor, and a neural network classifier. Experimental results show that the proposed algorithm can accurately identify the usability of solenoid valves. Molecular Diversity Preservation International (MDPI) 2010-07-29 /pmc/articles/PMC3231176/ /pubmed/22163597 http://dx.doi.org/10.3390/s100807157 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Tsai, Hsun-Heng Tseng, Chyuan-Yow Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title | Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title_full | Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title_fullStr | Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title_full_unstemmed | Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title_short | Detecting Solenoid Valve Deterioration in In-Use Electronic Diesel Fuel Injection Control Systems |
title_sort | detecting solenoid valve deterioration in in-use electronic diesel fuel injection control systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231176/ https://www.ncbi.nlm.nih.gov/pubmed/22163597 http://dx.doi.org/10.3390/s100807157 |
work_keys_str_mv | AT tsaihsunheng detectingsolenoidvalvedeteriorationininuseelectronicdieselfuelinjectioncontrolsystems AT tsengchyuanyow detectingsolenoidvalvedeteriorationininuseelectronicdieselfuelinjectioncontrolsystems |