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Accession Number ADA577121
Title Linguistic Model for Engine Power Loss.
Publication Date Nov 2011
Media Count 8p
Personal Author C. Fajardo J. Grantner L. Dong M. Castanier S. Hussain
Abstract Army ground vehicles often operate in extremely severe environmental and battlefield conditions. Condition Based Maintenance (CBM) allows maintenance to be performed based on evidence of need provided by reliability modeling and/or other enabling technologies, thus reducing maintenance costs and increasing vehicle availability. A Takagi-Sugeno fuzzy model is developed to diagnose the loss of engine power of light trucks. Baseline data are acquired through engine performance measurements. The Adaptive Neuro-Fuzzy (ANFIS) training method is used to extract the fuzzy rules. To improve the quality of the model a combination of the least-square error and the backpropagation gradient descent methods is implemented to minimize the errors.
Keywords Condition based maintenance
Engine power loss
Engines
Failure(Mechanics)
Fuzzy models
Intelligent diagnostics
Linguistics
Maintenance
Models
Monitoring

 
Source Agency Non Paid ADAS
NTIS Subject Category 97O - Miscellaneous Energy Conversion & Storage
81A - Combustion & Ignition
Corporate Author Army Tank-Automotive Command, Warren, MI. Research Development and Engineering Dir.
Document Type Journal article
Title Note Journal article.
NTIS Issue Number 1320
Contract Number W56HZV-08-C-0236

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