Linguistic model for engine power loss

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.