Optimization of Assembly Line Balancing Via Response Surface Methodology and Discrete Event Simulation DOI Creative Commons
Onur Mesut Şenaras, İ. Şahin, Arzu Eren Şenaras

и другие.

Revista de Gestão Social e Ambiental, Год журнала: 2024, Номер 18(12), С. e09062 - e09062

Опубликована: Дек. 10, 2024

Objective: The objective of this study is to distribute the operations time between operators according production mix for a new product type be added relevant module in existing line, and integrate with high workload into line without adding operator. Theoretical Framework: Assembly balancing an important performance enhancement method that frequently used improve manufacturing systems. Method: Response Surface Methodology (RSM) collection statistical mathematical techniques useful developing, improving, optimizing processes. A discrete event simulation model can defined as where state variable changes only at these points when events occur. Results Discussion: As result research, produce 386 products under condition not having two consecutive units X202, ratio 85%-15%. Research Implications: practicality use consistency results obtained make integration response surface experimental design applied both academic industrial settings. Originality/Value: This contributes literature by developing balance assembly constraints, established optimization parameters has been discussed literature.

Язык: Английский

Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions DOI

Suiyan Wang,

Hanqin Shuai,

Junhui Hu

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер 269, С. 126452 - 126452

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

7

Non-Temporal Neural Networks for Predicting Degradation Trends of Key Wind-Turbine Gearbox Components DOI
Xiaoxia Yu, Zhigang Zhang, Baoping Tang

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122438 - 122438

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Nonlinear Slow-varying Dynamics-assisted Temporal Graph Transformer Network for Remaining Useful Life Prediction DOI
Zhan Gao, Weixiong Jiang, Jun Wu

и другие.

Reliability Engineering & System Safety, Год журнала: 2024, Номер 248, С. 110162 - 110162

Опубликована: Апрель 30, 2024

Язык: Английский

Процитировано

6

Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method DOI
Xiaoming Yuan, Dongling Shi,

Nian Shi

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102807 - 102807

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

5

Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery DOI
Ke Wu, Wei Xu,

Qiming Shu

и другие.

Journal of Intelligent Manufacturing, Год журнала: 2024, Номер unknown

Опубликована: Май 4, 2024

Язык: Английский

Процитировано

4

Compound Fault Diagnosis of Wind Turbine Gearbox via Modified Signal Quality Coefficient and Versatile Residual Shrinkage Network DOI Creative Commons
Weixiong Jiang,

Guanhui Zhao,

Zhan Gao

и другие.

Sensors, Год журнала: 2025, Номер 25(3), С. 913 - 913

Опубликована: Фев. 3, 2025

Wind turbine gearbox fault diagnosis is critical to guarantee working efficiency and operational safety. However, the current diagnostic methods face enormous restrictions in handling nonlinear noise signals intricate compound patterns. Herein, a method based on modified signal quality coefficient (MSQC) versatile residual shrinkage network (VRSN) proposed resolve these issues. In detail, MSQC designed remove components irrelevant wind operation status, it has ability balance denoised effect fidelity. The VRSN constructed for diagnosis, consists of two heterogeneous networks. former count number faults, latter adopted identify single or pattern. Finally, self-built test rig verify method’s effectiveness. results demonstrate that competitive terms accuracy.

Язык: Английский

Процитировано

0

Health Evaluation Techniques Towards Rotating Machinery: A Systematic Literature Review and Implementation Guideline DOI
Weixiong Jiang, Jun Wu, Yifan Yang

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер 260, С. 110924 - 110924

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

0

Zero-Sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning DOI

Guoqiang Li,

Meirong Wei, Defeng Wu

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127080 - 127080

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

A customized dual-transformer framework for remaining useful life prediction of mechanical systems with degraded state DOI
Zhan Gao, Weixiong Jiang, Jun Wu

и другие.

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 230, С. 112611 - 112611

Опубликована: Март 26, 2025

Язык: Английский

Процитировано

0

Human-Machine Collaborative Health Estimation of Industrial Robot Based on Fuzzy Self-attention Network and Manifold Cluster DOI
Weixiong Jiang, Qi Deng, Jun Wu

и другие.

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113430 - 113430

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0