A Model Following Based Real-Time Prediction and Monitoring of TFE-731 Turbofan Engine Compressors

Online Normalization Algorithm for Engine Turbofan Monitoring

To understand the behavior of a turbofan engine, one first needs to deal with the variety of data acquisition contexts. Each time a set of measurements is acquired, and such set may account for tens of parameters, the aircraft evolves in a specific flight mode. A diagnostic of the engine behavior models the observations and tests if anything appears as expected. A model of the engine measuremen...

Rate-Based Model Predictive Control of Turbofan Engine Clearance

Robust Model Identification Application to a Turbofan Engine

In this paper we describe an application of a robust identification approach to a turbofan engine. The approach combines classical time-data system identification via prediction error models and the so-called model error model theory. The model error model approach provides guidelines for the characterization of the model uncertainty stemming from the nominal system identification and fits natu...

Prediction of Car Following Behavior Based on the Instantaneous Reaction Time using an ANFIS-CART Based Model

Car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. Until now, several carfollowingmodels have been proposed. An obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. In th...

Real-time earthquake monitoring using a search engine method

When an earthquake occurs, seismologists want to use recorded seismograms to infer its location, magnitude and source-focal mechanism as quickly as possible. If such information could be determined immediately, timely evacuations and emergency actions could be undertaken to mitigate earthquake damage. Current advanced methods can report the initial location and magnitude of an earthquake within...