Human Reliability Analysis in Spaceflight Applications

Calhoun, Jessica; Savoie, Chris; Randolph-Gips, Mary M.; Bozkurt, Ipek

doi:10.1002/qre.1442

Cited by 22 publications

(13 citation statements)

References 8 publications

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“…Therefore, to precisely analyze the operator's correct behavior and error behavior, the cognitive model should fully incorporate the significant functions of human factor analysis and design in the human–machine system and of operator training and learning. For instance, NASA has expanded its HRA method research from space flight operation to ground support and human training …”

Section: Discussion and Future Researchmentioning

confidence: 84%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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Human error behavior is determined by both environmental and human factors. In particular, psychological and spiritual factors have a decisive impact on human errors. The human cognitive model not only makes a sound exposition of the generation process and mechanism of human erroneous actions but also improves the accuracy and credibility of human reliability analysis (HRA). Therefore, it helps effectively avoid and prevent human errors in industrial fields. This paper highlights the significant role that the cognitive model has played in HRA. Then, based on an analysis of the nature of human behavior and the classifications of common human errors, several typical cognitive models are summarized in the areas of ergonomics, behavioral science, and cognitive engineering, including a cognitive model related to process, an information-processing model, a decision-making and problem-solving process model, and a cognitive simulation model based on computer technology. Then, cognitive models and the corresponding HRA methods that are applied in the fields of reliability engineering, safety engineering, and risk assessment are reviewed. Finally, some directions and challenges are proposed for the future research of cognitive models applied in HRA methods based on the discussion of current cognitive models used in HRA methods.

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Section: Discussion and Future Researchmentioning

confidence: 84%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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“…On the other hand, the crewmembers' backgrounds typically vary widely. Therefore, different types of training may be required for different crewmembers to achieve the minimum adequate level of training and preparation for spaceflight …”

Section: Methodsmentioning

confidence: 99%

A method of human reliability analysis and quantification for space missions based on a Bayesian network and the cognitive reliability and error analysis method

Chen

Zhou

Lyu

et al. 2018

Quality & Reliability Eng

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Analyses of human reliability during manned spaceflight are crucial because human error can easily arise in the extreme environment of space and may pose a great potential risk to the mission. Although various approaches exist for human reliability analysis (HRA), all these approaches are based on human behavior on the ground. Thus, to appropriately analyze human reliability during spaceflight, this paper proposes a space-based HRA method of quantifying the human error probability (HEP) for space missions. Instead of ground-based performance shaping factors (PSFs), this study addresses PSFs specific to the space environment, and a corresponding evaluation system is integrated into the proposed approach to fully consider space mission characteristics. A Bayesian network is constructed based on the cognitive reliability and error analysis method (CREAM) to model these space-based PSFs and their dependencies. By incorporating the Bayesian network, the proposed approach transforms the HEP estimation procedure into a probabilistic calculation, thereby overcoming the shortcomings of traditional HRA methods in addressing the uncertainty of the complex space environment. More importantly, by acquiring more information, the HEP estimates can be dynamically updated by means of this probabilistic calculation. By studying 2 examples and evaluating the HEPs for an International Space Station ingress procedure, the feasibility and superiority of the developed approach are validated both mathematically and in a practical scenario.

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“…There are also some specific methods developed in the literature for Human Error Probability (HEP) quantification (Sun et al, 2012). Such approaches have been widely applied to deal with human error and human factors in various sectors including nuclear (Alvarenga et al, 2014;Jang et al, 2013), spaceflight (Calhoun et al, 2013(Calhoun et al, , 2014, marine and maritime (Akyuz and Celik, 2015a, 2015b, 2016Yang et al, 2013;Akyuz, 2016;Chen et al, 2013;, and civil infrastructure (Nan and Sansavini, 2016), etc.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid approach to human error probability quantification–applications in maritime operations

Yang

Fang

et al. 2017

Ocean Engineering

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A new hybrid approach to human error probability quantification-applications in maritime operations http://researchonline.ljmu.ac.uk/id/eprint/6876/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively.Xi, YT, Yang, ZL, Fang, QG, Chen, WJ and Wang, J (2017) A new hybrid approach to human error probability quantification-applications in maritime operations. Ocean Engineering, 138. pp. 45-54. AbstractHuman Reliability Analysis (HRA) has always been an essential research issue in safety critical systems. Cognitive Reliability Error Analysis Method (CREAM), as a well-known second generation HRA method is capable of conducting both retrospective and prospective analysis, thus being widely used in many sectors. However, the needs of addressing the use of a deterministic approach to configure common performance conditions (CPCs) and the assignment of the same importance to all the CPCs in a traditional CREAM method reveal a significant research gap to be fulfilled. This paper describes a modified CREAM methodology based on an Evidential Reasoning (ER) approach and a Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for making human error probability quantification in CREAM rational. An illustrative case study associated with maritime operation is presented. The proposed method is validated by sensitivity analysis and the quantitative analysis result is verified through comparing the data and the benchmarking with the real data collected from Shanghai coastal waters. Its main contribution lies in that it for the first time addresses the data incompleteness in HEP, given that the previous relevant studies mainly focus on the fuzziness in data. The findings will provide useful insights for quantitative assessment of seafarers' errors to reduce maritime risks due to human errors.

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Human Reliability Analysis in Spaceflight Applications

Cited by 22 publications

References 8 publications

A Review of Cognitive Models in Human Reliability Analysis

A Review of Cognitive Models in Human Reliability Analysis

A method of human reliability analysis and quantification for space missions based on a Bayesian network and the cognitive reliability and error analysis method

A new hybrid approach to human error probability quantification–applications in maritime operations

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