Nonlinear Chemical Process Monitoring And Fault Detection Based On Modified Lstm Model

Nonlinear Chemical Process Monitoring And Fault Detection Based On Modified Lstm Model

With the development of the chemical industry, fault detection of chemical process has become hard challenge due to the high-dimensional data and complex chemical process and increasing number of equipment. The standard feedforward neural network is not particularly effective at solving these issues...

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Bibliographic Details
Main Author: Zambri, Muhammad Ridzuan
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2022
Subjects:
T Technology
TP155-156 Chemical engineering
Online Access:http://eprints.usm.my/55494/
http://eprints.usm.my/55494/1/Nonlinear%20Chemical%20Process%20Monitoring%20And%20Fault%20Detection%20Based%20On%20Modified%20Lstm%20Model.pdf

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