Determination of human error probabilities in maintenance procedures of a pump

Noroozi, Azita; Khan, Faisal; MacKinnon, Scott; Amyotte, Paul; Deacon, T.

doi:10.1016/j.psep.2012.11.003

Cited by 73 publications

(33 citation statements)

References 28 publications

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“…Furthermore, Williams (1988) introduced a useful tool namely called HEART (Human Error Assessment and Reduction Technique) in order to analyse human tasks with identify HEP value by applying weighting factors. The HEART has been successfully modified and applied in numerous disciplines such as petrochemical industry (Noroozi et al, 2014), road transportation (Castiglia and Giardina, 2013), healthcare (Chadwick and Fallon, 2012) and nuclear energy (Kirwan, 1997). Furthermore, another HRA method, ATHEANA (A Technique for Human Error Analysis), was introduced as second generation technique in order to define human actions in nuclear industry (Cooper et al, 1996).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the paper, authors utilize HEART methodology in order to determine HEP values for critical steps in the escape, evacuation and rescue process in offshore units. A similar methodological approach has been presented in recent days (Noroozi et al, 2014). In this paper, a condenser pump installed in single buoy moorings (SBM) in offshore platform has been analysed and HEP values have been evaluated during maintenance process.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

Akyüz

Celik

2015

Safety Science

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

Akyüz

Celik

2015

Safety Science

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“…This can inform maintenance policy and decision making for real systems [22], in order to mitigate the serious consequences of an unmet demand. The approach taken in the paper is related to the notion of quality of maintenance [23], and there is a growing literature concerned with mistakes of perception [24], [25], demonstrating increasing concern about human influence on the performance of a system.…”

Section: Introductionmentioning

confidence: 99%

Imperfect Inspection of a System With Unrevealed Failure and an Unrevealed Defective State

2019

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This paper proposes a model of inspection of a protection system in which the inspection outcome provides imperfect information of the state of the system. The system itself is required to operate on demand typically in emergency situations. The purpose of inspection is to determine the functional state of the system and consequently whether the system requires replacement. The system state is modeled using the delay time concept in which the failed state is preceded by a defective state. Imperfect inspection is quantified by a set of probabilities that relate the system state to the outcome of the inspection. The paper studies the effect of these probabilities on the efficacy of inspection. The analysis indicates that preventive replacement mitigates low-quality inspection and that inspection is cost-effective provided the imperfect inspection probabilities are not too large. Some derivative policies in which replacement is "postponed" following a positive inspection are also studied. An isolation valve in a utility network motivates the modeling.Index Terms-Delay-time model, preventive maintenance, protection system, quality of service, replacement.

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“…Generally, 2 possible kinds of events may lead to the “worse than old” repair state. One is an unpredictable human error during repair work (ie, a repairman does not follow the right operation procedure, or lack of experience), which may result in damages on other components or sub‐systems therefore reducing the entire system performance; the other is called propagated failures that a failure originated from a component of a system may have negative effect on other components or sub‐systems. Specifically, a failure of a component may trigger or accelerate failure mechanisms of other components, thereby leading to performance degradation of the entire system.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling of multi‐state degraded repairable systems and its applications to automotive systems

Zheng

Pham

et al. 2018

Quality & Reliability Eng

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In this paper, we presented a continuous‐time Markov process‐based model for evaluating time‐dependent reliability indices of multi‐state degraded systems, particularly for some automotive subsystems and components subject to minimal repairs and negative repair effects. The minimal repair policy, which restores the system back to an “as bad as old” functioning state just before failure, is widely used for automotive systems repair because of its low cost of maintenance. The current study distinguishes with others that the negative repair effects, such as unpredictable human error during repair work and negative effects caused by propagated failures, are considered in the model. The negative repair effects may transfer the system to a degraded operational state that is worse than before due to an imperfect repair. Additionally, a special condition that a system under repair may be directly transferred to a complete failure state is also considered. Using the continuous‐time Markov process approach, we obtained the general solutions to the time‐dependent probabilities of each system state. Moreover, we also provided the expressions for several reliability measures include availability, unavailability, reliability, mean life time, and mean time to first failure. An illustrative numerical example of reliability assessment of an electric car battery system is provided. Finally, we use the proposed multi‐state system model to model a vehicle sub‐frame fatigue degradation process. The proposed model can be applied for many practical systems, especially for the systems that are designed with finite service life.

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Determination of human error probabilities in maintenance procedures of a pump

Cited by 73 publications

References 28 publications

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

Imperfect Inspection of a System With Unrevealed Failure and an Unrevealed Defective State

Reliability modeling of multi‐state degraded repairable systems and its applications to automotive systems

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