Shared mental models-based collaboration method in assembly tasks for multi-agent self-organizing systems DOI
Gang Chen, Zhenjun Ming, Jelena Milisavljevic-Syed

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 66, С. 103494 - 103494

Опубликована: Май 26, 2025

Язык: Английский

A Multi-Task Causal Knowledge Fault Diagnosis Method for PMSM-ITSF Based on Meta-Learning DOI Creative Commons
Ping Lan, Liguo Yao, Yao Lu

и другие.

Sensors, Год журнала: 2025, Номер 25(4), С. 1271 - 1271

Опубликована: Фев. 19, 2025

In the process of diagnosing inter-turn short circuit fault joint permanent magnet synchronous motor an industrial robot, due to small and sparse sample data, it is easy misdiagnose, difficult quickly accurately evaluate degree, lock location, track causes. A multi-task causal knowledge diagnosis method for circuits motors based on meta-learning proposed. Firstly, variation parameters under motor’s thoroughly investigated, characteristic quantity selected. Comprehensive simulations are conducted using Simulink, Simplorer, Maxwell generate data different states; meanwhile, labeled. Secondly, introduced into learning network training, degree position between turns realized. Finally, Neo4j database causality constructed. Experiments show that this can diagnose cause with voltage unbalanced degrees. The accuracy 99.75 ± 0.25%, location 99.45 0.21%.

Язык: Английский

Процитировано

0
THEORETICAL FOUNDATIONS OF THE DUAL CONTROL ALGORITHM FOR MULTI-AGENT INFORMATION-MEASURING SYSTEMS DOI
Оrest Serediuk,

Mykhailo Trufan

Measuring Equipment and Metrology, Год журнала: 2025, Номер 86(1), С. 5 - 12

Опубликована: Янв. 1, 2025

This article examines the theoretical foundations of dual control algorithm in context machine learning, focusing on its application for intelligent agents multi-agent information-measuring systems. A proposed combines anomaly detection data with telemetry-based sensor calibration, opening new possibilities improving accuracy and reliability complex dynamic environments. The advantages are analyzed concerning adaptability, forecasting, integration, comparing it other learning algorithms. scheme software acquisition module is presented. model developed compared isolation forest model, highlighting applying building

Язык: Английский

Процитировано

0
A bi-level supply chain resilience model using cloud manufacturing DOI
Wei Ye, Shanshan Yang, Xingyu Li

и другие.

Journal of Manufacturing Systems, Год журнала: 2025, Номер 80, С. 662 - 672

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
An efficient problem-specific evolutionary algorithm for flexible job shop scheduling problem with specific workers in highly customised manufacturing systems DOI
Jiahang Li,

Qihao Liu,

Xinyu Li

и другие.

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Апрель 26, 2025

Язык: Английский

Процитировано

0
A novel topological neighborhood structure for flexible job shop scheduling problem with variable sublots DOI
Zipeng Yang, Xinyu Li, Liang Gao

и другие.

Computers & Operations Research, Год журнала: 2025, Номер unknown, С. 107120 - 107120

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Shared mental models-based collaboration method in assembly tasks for multi-agent self-organizing systems DOI
Gang Chen, Zhenjun Ming, Jelena Milisavljevic-Syed

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 66, С. 103494 - 103494

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0