The paper presents a methodology for incremental development of large discrete-event simulation models. The proposed methodology has evolved during a project performed in collaboration with BT Products. The methodology is based on configuration management to secure simulation model integrity and modularization of the model. Modularization reduces complexity, allows modeling at a higher level of...

Induction Motor especially the squirrel cage type of this motor plays important role in industry. According to the application type, this motor place against various stresses that are caused failure in the motor. The most common failure is related to the Stator winding. Among these failures are turn-to-turn, coil-to-coil and phase to phase faults. Flow the high current do to the induction resul...

In this paper, a new technique is proposed for field effect transistor (FET) small-signal modeling using neural networks. This technique is based on the combination of the Mel-frequency Cepstral Coefficients (MFCCs) with the different discrete transforms such as the discrete cosine transform (DCT), the discrete sine transform (DST), and the discrete wavelet transform (DWT) of the inputs to the ...

U NLIKE robust control, which chooses control gains based on a prior, fixed level of modeling uncertainty, adaptive control algorithms tune the feedback gains in response to the true plant and exogenous signals: that is, commands and disturbances. Generally speaking, adaptive controllers require less prior modeling information than robust controllers and thus can be viewed as highly parameter-r...

dense medium cyclone is a high capacity device that is widely used in coal preparation. it is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in dmcs complex. in this article the flow pattern simulation of dmc is performed with computational fluid dynamics and fluent...

Physical systems are by nature continuous but often exhibit nonlinearities that make behavior generation complex and hard to analyze Complexity is often reduced by linearizing model constraints and by ab stracting the time scale for behavior generation In either case the physical components are modeled to operate in multiple modes with abrupt changes be tween modes This paper discusses a hybrid...

This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...