Fatigue As A Performance Shaping Factor In Human Reliability Analysis For Long-Duration Spaceflight

2020 ◽  
Vol 64 (1) ◽  
pp. 1681-1685
Author(s):  
Ronald Boring ◽  
Thomas Ulrich ◽  
Torrey Mortenson ◽  
David German
Keyword(s):  
Reliability Analysis ◽  
Meta Analysis ◽  
Extended Period ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Space Applications ◽  
Performance Shaping Factors ◽  
Long Duration ◽  
Starting Point ◽  
Chronic Sleep

This paper provides background on the process to enhance human reliability analysis (HRA) for long-duration space applications. While short-duration missions largely mirror ground activities and fit well with existing HRA methods, new missions to the Moon or Mars entail a significantly longer duration of time in space for astronauts. This extended period in space presents opportunities to affect astronaut performance that require consideration of new performance shaping factors (PSFs). In the present paper, we conducted a meta-analysis on fatigue and developed a new PSF to account for chronic sleep deprivation associated with long-duration space missions. Fatigue provides a starting point for additional PSFs needed for space HRA.

Expert judgments for performance shaping Factors’ multiplier design in human reliability analysis

2020 ◽  
Vol 194 ◽  
pp. 106343 ◽  
Author(s):  
Peng Liu ◽  
Yongping Qiu ◽  
Juntao Hu ◽  
Jiejuan Tong ◽  
Jun Zhao ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Performance Shaping Factors

scholarly journals Human reliability analysis of the Tehran research reactor using the SPAR-H method

2012 ◽  
Vol 27 (3) ◽  
pp. 319-332 ◽  
Author(s):  
Ramin Barati ◽  
Saeed Setayeshi
Keyword(s):  
Reliability Analysis ◽  
Research Reactor ◽  
Safety Analysis ◽  
Human Action ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Human Errors ◽  
Performance Shaping Factors ◽  
Tehran Research Reactor ◽  
Probabilistic Safety

The purpose of this paper is to cover human reliability analysis of the Tehran research reactor using an appropriate method for the representation of human failure probabilities. In the present work, the technique for human error rate prediction and standardized plant analysis risk-human reliability methods have been utilized to quantify different categories of human errors, applied extensively to nuclear power plants. Human reliability analysis is, indeed, an integral and significant part of probabilistic safety analysis studies, without it probabilistic safety analysis would not be a systematic and complete representation of actual plant risks. In addition, possible human errors in research reactors constitute a significant part of the associated risk of such installations and including them in a probabilistic safety analysis for such facilities is a complicated issue. Standardized plant analysis risk-human can be used to address these concerns; it is a well-documented and systematic human reliability analysis system with tables for human performance choices prepared in consultation with experts in the domain. In this method, performance shaping factors are selected via tables, human action dependencies are accounted for, and the method is well designed for the intended use. In this study, in consultations with reactor operators, human errors are identified and adequate performance shaping factors are assigned to produce proper human failure probabilities. Our importance analysis has revealed that human action contained in the possibility of an external object falling on the reactor core are the most significant human errors concerning the Tehran research reactor to be considered in reactor emergency operating procedures and operator training programs aimed at improving reactor safety.

scholarly journals Human Reliability Analysis for Verification and Validation of New Designs

2019 ◽  
Vol 63 (1) ◽  
pp. 2170-2174
Author(s):  
Ronald Laurids Boring
Keyword(s):  
Human Factors ◽  
Reliability Analysis ◽  
Empirical Studies ◽  
Nuclear Industry ◽  
Internal Quality ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Performance Shaping Factors ◽  
System Interfaces

As the commercial nuclear industry prepares to extend the life of existing power reactors and build new reactors, it becomes necessary to verify and validate the human-system interfaces found in the main control rooms and elsewhere at the plants. Verification has consisted of comparison of the system to human factors standards. Validation has consisted of operator-in-the-loop studies to identify potential shortcomings in the system design and establish the safety of operations of the system. The empirical studies in support of validation have typically been led by human factors experts, who treat the validation exercise as a type of detailed usability study to meet regulatory and internal quality standards. Human reliability analysis (HRA) has not held a prominent role in validation. In this paper, we explore the role of HRA to augment human factors studies. It is suggested that HRA can serve as an important driver in the design of validation studies by identifying those critical performance shaping factors known to lead to decreased operator reliability. Additionally, HRA can support verification by serving as a standard checklist against which to base expected operator performance.

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