A model-based approach for the collection of human reliability data

Massaiu, Salvatore

doi:10.1201/b11433-84

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…where 𝑎and b are the parameters with different case, 𝑥 the value of TP, and the β TP is same to Equation (15). Next, we have use MATLAB to fit the model of β TP and TP, Figure 7 shows the details features of both action type and diagnose.…”

Section: Conducting Time Pressure Parametersmentioning

confidence: 99%

“…To study the effect of TP on human mental workload, it is important to determine whether the AT of a task can successfully come to meet with the RT 14 . In the field of studying NPPs, the RT among a group crews or operators are varying significantly, 15 and we argue that the RT in a specific task means that operators will be able to keep up with a task within the RT . It will make operators’ TP ignored because of the redundancy of time.…”

Section: Introductionmentioning

confidence: 99%

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Research on modeling in operator mental workload based on VACP method

Zhang

Wen

Dai

et al. 2022

Quality & Reliability Eng

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In the context of the applications of higher automation and complex system configuration in nuclear power plants (NPPs), ensuring nuclear safety by maintaining the reliability of the operators in main control room is become more crucial than ever before. As an essential dimension of physiological indicator, human mental workload is widely used in evaluating human performance and reliability. This paper presents an approach to evaluate the mental workload of operators using multiple resources in Visual, Auditory, Cognitive, and Psychomotor (VACP) model, and takes time pressure (TP) as a critical index. We have performed the approach by a real case study and analyzed the relationship between the operator mental workload and TP, task type and the error probability during the Loss of Coolant Accident (LOCA) under full power operation. There are two operating phases in the workload has been analyzed. Moreover, the relationship between human‐error probability (HEP) and TP had been studied via volatility gain analysis for distinguishing which step of a task is of most important. The results shows that the fault remind (“informing LOCA”) is the first important fluctuation in the phase ignoring TP and HEP. On the other hand, the information validity (“ensuring control rods has been inserted to the bottom”) in the case considering TP is the most important. Because the high task load is positively correlated with human error, the research provides an important basis for preventing human errors in the phase of NPP designs, which will be especially useful in safety‐critical tasks.

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Section: Conducting Time Pressure Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on modeling in operator mental workload based on VACP method

Zhang

Wen

Dai

et al. 2022

Quality & Reliability Eng

View full text Add to dashboard Cite

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“…Among the documents found, we selected some of them. An interesting point of view is analysed by Massaiu [5]. In his paper, a new approach is proposed to address the weaknesses of the HRA method or in other words the lack of empirical support of HRA method.…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Developing a Cognitive Model for Human Reliability Analysis

Falcone¹,

Felice²,

Petrillo³

et al. 2017

Theory and Application on Cognitive Factors and Risk Management - New Trends and Procedures

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Serious incidents that occur inside or caused by industrial plants represent a very critical issue. In this context, the human reliability analysis (HRA) is an important tool to assess human factors that influence human behaviour in disasters scenario. In fact, the reliability assessment of interaction between human-machine systems is an important factor that affects the overall performance and safety in industrial plants. However, even though HRA techniques have been available for decades, there is not a universal method/procedure to reduce human errors that affect human performance. This study aims to design a novel approach to investigate the relationship between human reliability and operator performance considering the dependence on the available time to make decisions.

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