Improving kernel PCA-based algorithm for fault detection in nonlinear industrial process through fractal dimension-Reference-Cited by-同舟云学术

Improving kernel PCA-based algorithm for fault detection in nonlinear industrial process through fractal dimension

Published:2023-11 Issue: Volume:179 Page:525-536
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Kaib Mohammed Tahar Habib,Kouadri Abdelmalek,Harkat Mohamed Faouzi,Bensmail Abderazak,Mansouri Majdi

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference41 articles.

1. Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia;Al-Musaylh;Adv. Eng. Inform.,2018

2. A modified moving window dynamic PCA with fuzzy logic filter and application to fault detection;Ammiche;Chemom. Intell. Lab. Syst.,2018

3. New reduced kernel PCA for fault detection and diagnosis in cement rotary kiln;Bencheikh;Chemom. Intell. Lab. Syst.,2020

4. Chaos Theory & Fractals;Bhutta;Appl. Signal Process.,1999

5. C., Felipe and A., Perez 2011 Fault Diagnosis with Reconstruction-based Contributions for Statistical Process Monitoring, Ph.D. dissertation, Viterbi School of Engineering.

Cited by 8 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. Cross-domain fault diagnosis for multimode green ammonia synthesis process based on DA-CycleGAN;Process Safety and Environmental Protection;2024-11

2. An Improved Industrial Fault Diagnosis Model by Integrating Enhanced Variational Mode Decomposition with Sparse Process Monitoring Method;Reliability Engineering & System Safety;2024-09

3. Dimension Reduction of Multi-Source Time Series Sensor Data for Industrial Process;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

4. A novel triage-based fault diagnosis method for chemical process;Process Safety and Environmental Protection;2024-03

5. Multivariate PCA-Based Composite Criteria Evaluation Method for Anomaly Detection in Manufacturing Data;2024 26th International Conference on Advanced Communications Technology (ICACT);2024-02-04