Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots-Reference-Cited by-同舟云学术

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Prediction and isolation of process faults using operable adaptive sparse identification of systems (OASIS) and contribution plots

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
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Author:

Bhadriraju Bhavana¹,Kwon Joseph Sang-Il²,Khan Faisal³

Affiliation:

1. Texas A&M University,Bhavana Bhadriraju and Mary Kay O’Connor Process Safety Center,College Station,TX,USA,77845

2. Texas A&M University,Artie McFerrin Department of Chemical Engineering,College Station,TX,USA,77845

3. Texas A&M University,Artie McFerrin Department of Chemical Engineering and Mary Kay O’Connor Process Safety Center,College Station,TX,USA,77845

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867697.pdf?arnumber=9867697

Reference20 articles.

1. Fault isolation using modified contribution plots

2. Fault isolation based on residual evaluation and contribution analysis

3. Fault Isolation Based On k-Nearest Neighbor Rule For Industrial Processes

4. Methods for numerical differentiation of noisy data;knowles;Journal of Differential Equations,2014

5. Numerical Differentiation of Noisy Data: A Unifying Multi-Objective Optimization Framework

Cited by 3 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. Variance-capturing forward-forward autoencoder (VFFAE): A forward learning neural network for fault detection and isolation of process data;Process Safety and Environmental Protection;2023-10

2. An adaptive data-driven approach for two-timescale dynamics prediction and remaining useful life estimation of Li-ion batteries;Computers & Chemical Engineering;2023-07

3. Early Identification of Faults using Hybrid CNN Model for Industrial Internet of Things;2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon);2022-10-16

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