Enhancing Classification Accuracy with a Novel Stochastic Optimization Technique for Feature Selection in High-Dimensional Data DOI
Noureen Talpur, Shazia Hasan, Mohd Hafizul Afifi Abdullah

et al.

Published: Jan. 1, 2024

Language: Английский

From A-to-Z Review of Clustering Validation Indices DOI
Bryar A. Hassan,

Noor Bahjat Tayfor,

Alla Ahmad Hassan

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 601, P. 128198 - 128198

Published: July 18, 2024

Language: Английский

Citations

7
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization DOI
Wenchao Jia,

Aijun An,

Bin Gong

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127267 - 127267

Published: March 1, 2025

Language: Английский

Citations

0
A review of meta-heuristic high utility patterns mining methods DOI
Meng Han, Wenyan Yang,

Zhenlong Dai

et al.

Knowledge and Information Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0
Second-order inertia automatic generation control based on grid-forming inverters using convergent observers salp swarm algorithm for frequency control DOI
Amoh Mensah Akwasi, Haoyong Chen,

Junfeng Liu

et al.

International Journal of Dynamics and Control, Journal Year: 2025, Volume and Issue: 13(5)

Published: May 1, 2025

Language: Английский

Citations

0
T2-LSTM-Based AI System for Early Detection of Motor Failure in Chemical Plants DOI Creative Commons
Chien-Chih Wang

Mathematics, Journal Year: 2024, Volume and Issue: 12(17), P. 2652 - 2652

Published: Aug. 26, 2024

In the chemical industry, stable reactor operation is essential for consistent production. Motor failures can disrupt operations, resulting in economic losses and safety risks. Traditional monitoring methods, based on human experience simple current monitoring, often need to be faster more accurate. The rapid development of artificial intelligence provides powerful tools early fault detection maintenance. this study, Hotelling T2 index used calculate root mean square values normal motor’s x, y, z axes. A long short-term memory (LSTM) model creates a trend index, determining an warning threshold. Current anomaly follows ISO 10816-1 standard, while future prediction uses T2-LSTM model. Validated at plant Southern Taiwan, method shows 98% agreement between predicted actual anomalies over three months, demonstrating its effectiveness. significantly improves accuracy motor detection, potentially reducing improving industry. Future research will focus false alarms integrating sensor data.

Language: Английский

Citations

0
Enhancing Classification Accuracy with a Novel Stochastic Optimization Technique for Feature Selection in High-Dimensional Data DOI
Noureen Talpur, Shazia Hasan, Mohd Hafizul Afifi Abdullah

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0