Farooq, M.U. and Xia, L.-K. and Hussin, F.A. and Malik, A.S. (2012) Performance evaluation of nonlinear automated model generation approaches for high level fault modeling. In: UNSPECIFIED.
Full text not available from this repository.Abstract
It is known that automated model generation (AMG) techniques are sufficiently mature to handle linear systems. Other AMG techniques have been working reasonably well for various levels of nonlinear behavior. However, most of the modeling are performed under MATLAB environment. To be more realistic, the models need to be translated into hardware description language (HDL) models, such as VHDL-AMS or Verilog-AMS models, to perform high level modeling (HLM) and high level fault modeling (HLFM), which is a challenging task due to its nonlinear behavior. In this paper, the capability of System Identification (SI) based nonlinear AMG techniques is investigated by converting MATLAB models into VHDL-AMS models and to perform HLFM. Several faults are modeled successfully in MATLAB environment using AMG. However, they failed to perform HLFM when run in HDL simulator SystemVision. © 2012 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 ; Conference Date: 18 July 2012 Through 20 July 2012; Conference Code:94705 |
Uncontrolled Keywords: | Fault modeling; Fault propagation; HLFM; Model generation; TLFM; VHDL-AMS, Automation; Computer hardware description languages; Linear systems, Industrial electronics |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2673 |