Risk Assessment of a Wind Turbine: A New FMECA-Based Tool With RPN Threshold Estimation

Catelani, Marcantonio; Ciani, Lorenzo; Galar, Diego; Patrizi, Gabriele

doi:10.1109/access.2020.2968812

Cited by 29 publications

(11 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the 80–20 Pareto rule, 51 different graphical procedures 52,53 or statistical methods. 54 It must be noted that although these methods can serve as a guideline, the final RPN cut-off value for intervention is ultimately decided by the FMEA team and decision-makers of the organization, depending on the characteristics of the process and the resources available. As an illustrative example, compare the different cutoff criteria chosen in two reported cases of FMEA applied to healthcare, for the improvement of the mobilization safety of critically ill patients, 55 and an oncology radiology setting.…”

Section: Resultsmentioning

confidence: 99%

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

Bartolomé

Benítez

2021

International Journal of Mechanical Engineering Education

View full text Add to dashboard Cite

Failure Mode and Effect Analysis (FMEA) is a powerful quality tool, widely used in industry, for the identification of failure modes, their effects and causes. In this work, we investigated the utility of FMEA in the education field to improve active learning processes. In our case study, the FMEA principles were adapted to assess the risk of failures in a Mechanical Engineering course on “Theory of Machines and Mechanisms” conducted through a project-based, collaborative “Study and Research Path (SRP)” methodology. The SRP is an active learning instruction format which is initiated by a generating question that leads to a sequence of derived questions and answers, and combines moments of study and inquiry. By applying the FMEA, the teaching team was able to identify the most critical failures of the process, and implement corrective actions to improve the SRP in the subsequent year. Thus, our work shows that FMEA represents a simple tool of risk assesment which can serve to identify criticality in educational process, and improve the quality of active learning.

show abstract

Section: Resultsmentioning

confidence: 99%

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

Bartolomé

Benítez

2021

International Journal of Mechanical Engineering Education

View full text Add to dashboard Cite

show abstract

“…A preliminary study on RPN threshold has been already published in [37] where a statistical approach based on a boxplot was compared with the other method proposed in literature. It is an easy, practical and efficient solution recommended as a first evaluation to distinguish critical and negligible failure modes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is an easy, practical and efficient solution recommended as a first evaluation to distinguish critical and negligible failure modes. The method proposed in [37] could be used as a first screening of the failure modes, while more accurate and quantitative approach is required in case of safety-critical system (such railway systems).…”

Section: Literature Reviewmentioning

confidence: 99%

FMECA Assessment for Railway Safety-Critical Systems Investigating a New Risk Threshold Method

et al. 2021

Self Cite

View full text Add to dashboard Cite

This paper develops a Failure Mode, Effects and Criticality Analysis (FMECA) for a heating, ventilation and air conditioning (HVAC) system in railway. HVAC is a safety critical system which must ensure emergency ventilation in case of fire and in case of loss of primary ventilation functions. A study of the HVAC's critical areas is mandatory to optimize its reliability and availability and consequently to guarantee a low operation and maintenance cost. The first part of the paper describes the FMECA which is performed and reported to highlight the main criticalities of the HVAC system under analysis. Secondly, the paper deals with the problem of the evaluation of a threshold risk value, which can distinguish negligible and critical failure modes. Literature barely considers the problem of an objective risk threshold estimation. Therefore, a new analytical method based on finite difference is introduced to find a univocal risk threshold value. The method is then tested on two Risk Priority Number datasets related to the same HVAC. The threshold obtained in both cases is a good tradeoff between the risk mitigation and the cost investment for the corrective actions required to mitigate the risk level. Finally, the threshold obtained with the proposed method is compared with the methods available in literature. The comparison shows that the proposed finite difference method is a well-structured technique, with a low computational cost. Furthermore, the proposed approach provides results in line with the literature, but it completely deletes the problem of subjectivity.

show abstract

“…The most important but challenging parts of the RCM process are failure mode effect and criticality analysis (FMECA) and task selection. FMECA is developed using the subjective knowledge of domain experts (for more information about FMECA, see for instance, but not only, [12][13][14][15]).…”

Section: Introductionmentioning

confidence: 99%

Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection

et al. 2021

Self Cite

View full text Add to dashboard Cite

Reliability-centered maintenance (RCM) is a well-established method for preventive maintenance planning. This paper focuses on the optimization of a maintenance plan for an HVAC (heating, ventilation and air conditioning) system located on high-speed trains. The first steps of the RCM procedure help in identifying the most critical items of the system in terms of safety and availability by means of a failure modes and effects analysis. Then, RMC proposes the optimal maintenance tasks for each item making up the system. However, the decision-making diagram that leads to the maintenance choice is extremely generic, with a consequent high subjectivity in the task selection. This paper proposes a new fuzzy-based decision-making diagram to minimize the subjectivity of the task choice and preserve the cost-efficiency of the procedure. It uses a case from the railway industry to illustrate the suggested approach, but the procedure could be easily applied to different industrial and technological fields. The results of the proposed fuzzy approach highlight the importance of an accurate diagnostics (with an overall 86% of the task as diagnostic-based maintenance) and condition monitoring strategy (covering 54% of the tasks) to optimize the maintenance plan and to minimize the system availability. The findings show that the framework strongly mitigates the issues related to the classical RCM procedure, notably the high subjectivity of experts. It lays the groundwork for a general fuzzy-based reliability-centered maintenance method.

show abstract

Risk Assessment of a Wind Turbine: A New FMECA-Based Tool With RPN Threshold Estimation

Cited by 29 publications

References 33 publications

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

Failure mode and effect analysis (FMEA) to improve collaborative project-based learning: Case study of a Study and Research Path in mechanical engineering

FMECA Assessment for Railway Safety-Critical Systems Investigating a New Risk Threshold Method

Condition-Based Maintenance of HVAC on a High-Speed Train for Fault Detection

Contact Info

Product

Resources

About