A new hybrid method based on kalman filter and adaptive neural network for the robustness improvement of fault detection and identification process

A new hybrid method based on kalman filter and adaptive neural network for the robustness improvement of fault detection and identification process

This project assesses the possibility of a new hybrid method based on Kalman Filter and Adaptive Neural Network for the robustness improvement of Fault Detection and Identification (FDI) Process. Two classes of approaches are introduced, 1) the system identification approach and 2) the observer-base...

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Bibliographic Details
Main Author: Pebrianti, Dwi
Format: Research Book Profile
Language:English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/36259/
http://umpir.ump.edu.my/id/eprint/36259/1/A%20new%20hybrid%20method%20based%20on%20kalman%20filter%20and%20adaptive%20neural%20network%20for%20the%20robustness%20improvement%20of%20fault%20detection%20and%20identification%20process.pdf

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