Accession Number:

ADA577121

Title:

Linguistic Model for Engine Power Loss

Descriptive Note:

Journal article

Corporate Author:

ARMY TANK AUTOMOTIVE RESEARCH DEVELOPMENT AND ENGINEERING CENTER WARREN MI

Report Date:

2011-11-27

Pagination or Media Count:

8.0

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 andor 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.

Subject Categories:

  • Energy Storage
  • Combustion and Ignition

Distribution Statement:

APPROVED FOR PUBLIC RELEASE