Evaluation and prediction of on-line maintenance workload in nuclear power plants-Reference-Cited by-同舟云学术

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Evaluation and prediction of on-line maintenance workload in nuclear power plants

Published:2009-01 Issue:1 Volume:19 Page:64-77
ISSN:1090-8471
Container-title:Human Factors and Ergonomics in Manufacturing
language:en
Short-container-title:Hum. Factors Man.

Author:

Liang Guo-Feng,Lin Jhih-Tsong,Hwang Sheue-Ling,Huang Fei-hui,Yenn Tzu-Chung,Hsu Chong-Cheng

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Human Factors and Ergonomics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/hfm.20136/fullpdf

Reference43 articles.

1. The concept of work compatibility: An integrated design criterion for improving workplace human performance in manufacturing systems;Abdallah;Human Factors and Ergonomics in Manufacturing,2004

2. On-line maintenance job scheduling and assignment to resources in distributed systems by heuristic-based optimization;Adzakpa;Journal of Intelligent Manufacturing,2004

3. Simplified subjective workload assessment technique;Ameersing;Ergonomics,2001

4. A comparison of conventional linear regression and neural network methods for forecasting educational spending;Baker;Economics of Education Review,1999

5. Task-evoked pupillary response, processing load, and the structure of processing resources;Beatty;Psychological Bulletin,1982

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1. The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends;Applied Sciences;2021-04-02

2. Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review;IEEE Transactions on Cognitive and Developmental Systems;2021

3. A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade;Advances in Neuroergonomics and Cognitive Engineering;2020-06-28

4. Multi-source information fusion to assess control room operator performance;Reliability Engineering & System Safety;2020-02

5. Using Artificial Neural Networks for Predicting Mental Workload in Nuclear Power Plants Based on Eye Tracking;Nuclear Technology;2019-06-19

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