Predicting work performance in nuclear power plants

被引：86

作者：

Hwang, Sheue-Ling ^{[1
]}

Yau, Yi-Jan ^{[1
]}

Lin, Yu-Ting ^{[1
]}

Chen, Jun-Hao ^{[1
]}

Huang, Tsun-Hung ^{[1
,2
]}

Yenn, Tzu-Chung ^{[3
]}

Hsu, Chong-Cheng ^{[3
]}

机构：

[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 300, Taiwan

[2] Natl Chin Yi Univ Technol, Dept Ind Engn & Management, Taichung 411, Taiwan

[3] Atom Energy Council, Inst Nucl Energy Res, Longtan Township 325, Taoyuan County, Taiwan

来源：

SAFETY SCIENCE | 2008年 / 46卷 / 07期

关键词：

predictive; mental workload; physiological; GMDH; NPPs;

D O I：

10.1016/j.ssci.2007.06.005

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Diagnosis and monitoring are the major tasks of an operator to main control room of nuclear power plants (NPPs). The operator's mental workload influences his/her performance, and furthermore, affects the system safety and operations. This study investigated the operator's mental workload and work performance of the NPP in Taiwan. An experiment including primary and secondary tasks was designed to simulate the reactor shutdown procedure of the fourth nuclear power plant (FNPP). The performance of the secondary tasks (error rate), subjective mental workload (NASA Task Load Index, NASA-TLX) as well as seven physiological indices were assessed and measured. The group method of data handling (GMDH) was applied to integrate these physiological indices to develop a work performance predictive model. The validity of the proposed model is very well with R-2 = 0.84 and its prediction capability is high (95% confidence interval). The proposed model is expected to provide control room operators a reference value of their work performance by giving physiological indices. Besides NPPs, the proposed model can be applied to many other fields, e.g. aviation, air transportation control, driving and radar vigilance, etc. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1115 / 1124

页数：10

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Huang, Fel-Hui ;

Hwang, Sheue-Ling ;

Yenn, Tzu-Chung ;

Yu, Yuan-Chang ;

Hsu, Chong-Cheng ;

Huang, Hao-Wu .

SAFETY SCIENCE, 2006, 44 (10) :935-946

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