Fault Detection Based on Validated Model of Data Filtering Based Recursive Least Squares Algorithm For Box-Jenkins Systems-Reference-Cited by-同舟云学术

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Fault Detection Based on Validated Model of Data Filtering Based Recursive Least Squares Algorithm For Box-Jenkins Systems

Published:2021-12-10 Issue: Volume: Page:
ISSN:
Container-title:2021 Global Congress on Electrical Engineering (GC-ElecEng)
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Author:

Shashoa Nasar Aldian Ambark¹,Abougarair Ahmed J.²

Affiliation:

1. The Libyan Academy,Electrical and Computer Engineering,Tripoli,Libya

2. University of Tripoli,Electrical and Electronic Engineering,Tripoli,Libya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9788092/9788130/09788358.pdf?arnumber=9788358

Reference12 articles.

1. Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

2. Introduction to Mathematical Systems Theory

3. Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process

4. Input–output data filtering based recursive least squares identification for CARARMA systems

5. System Identification Of A Steam Distillation Pilotscale Using Arx And Narx Approaches;shariff;International Journal Of Reasearch And Tecnology,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Selection for Fault Diagnosis Using Principal Component Analysis;2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST);2023-06-29

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