The Proceedings of the Dynamics & Design Conference
Online ISSN : 2424-2993
2006
Session ID : 651
Conference information
651 Using Mutual unit type Neural Networks for the Engine Failure Diagnosis System
Kenich MITSUHASHITakashi TSUCHIYAShin MORISHITA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
The diesel engine has a high thermal effiency, but the serverity of emission restriction is increasing. In such a circumstance, various exhaust decrease devices is studyed. But several exhaust device is affected by a fuel property. In this study, we examined possibility of fuel kind distinction by mutual unit type neural networks work system using diesel fuel, kerosene and heavy oil.
Content from these authors
© 2006 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top