An innovative Goddard Space Flight Center methodology for using FMECA as a risk assessment and communication tool

Lindsey, Nancy

doi:10.1109/rams.2016.7448022

Cited by 3 publications

(4 citation statements)

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“…Many papers [27]- [31] suggest to reduce the number of O, S and D levels because in many applications it is difficult to evaluate the parameters in ten different levels. According to these works, the choice of only 5 levels is optimal in several manufacturing fields.…”

Section: Scale Adjustmentmentioning

confidence: 99%

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

2019

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Risk priority number (RPN) is a widely used approach, and it is a powerful means to assess the criticality of modes in a failure modes, effects, and criticality analysis (FMECA) worksheet. In the application of the traditional FMECA, the RPN is determined to rank the failure modes; however, the method has been criticized several times for having many drawbacks and weaknesses, such as the presence of gaps in the range of admissible values, the duplicates value provided by different combinations of the base factors, and the high sensitivity to small changes. This paper analyses and compares some alternative RPN formulation proposed in the literature to overcome these limits. This paper takes into account only the alternative RPN, which proposes a powerful solution without increasing the computational complexity and remaining coherent to the classical idea included in the international standard IEC 60812. In order to compare the advantages and disadvantages of these alternative RPNs, an FMECA was developed for a heating, ventilation, and air condition (HVAC) system in railway application. The critical analysis of the comparison can provide recommendations and suggestions regarding the choice of the alternative RPN based on the type of application. Finally, this paper takes into account the scales reduction of possible values related to the parameters (i.e., occurrence, severity, and detection), which influence the assessment of the RPN. This approach allows the designers to mitigate the drawbacks related to the full scale and provide an easier and faster assessment of the scores to evaluate the criticality analysis and prioritization. INDEX TERMS FMECA, railway engineering, reliability theory, risk priority number.

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Section: Scale Adjustmentmentioning

confidence: 99%

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

2019

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“…More formally, at the Goddard Space Flight Centre, the FMECA has been used for correlating mission parameters to risk management consequence definitions, by providing tools for their assessment and communication to decision-makers [19]. Furthermore, a FMECA-based approach prioritized items based on their criticality number, calculated by multiplying the scores assigned to severity and occurrence likelihood, under the assumption of exponentially distributed reliability [20], even with a specific interest in a typical satellite payload [21].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, an important feature of the FMECA, when performed during the design phase of a satellite, relates to the satellite capability of isolating the fault modes while the satellite is in operation [24]. This feature, often referred to as detectability, has been widely discussed in traditional industrial domains, (e.g., [25][26][27]), with limited systematic aspects in space domain [19].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Note that similar concepts are present in ESA guidelines for FMECA at process level. Therefore, the approach used in this study, extends ESA guidelines for functional FMECA, following the influence of the US satellite standard for FMECA-also documented in a recent FMECA space-based application [19]-in order to produce a three-dimensional risk index. This latter will include three indicators, each one rated in a 1-5 scale.…”

Section: Step 3 Perform the Criticality Analysismentioning

confidence: 99%

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A Reliability Engineering Approach for Managing Risks in CubeSats

et al. 2018

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Besides large-scale space missions, the spread of CubeSats for a variety of applications is increasingly requiring the development of systematic approaches for risk management. Being these applications are based on components with low TRL (Technology Readiness Level) or with limited performance data, it is required to define approaches which ensure a systematic perspective. This paper aims to present a reliability engineering approach based on FMECA (Failure Mode, Effects, and Criticality Analysis) to manage CubeSat reliability data and prioritize criticalities early in the design phase. The approach firstly proposes an alpha-numeric coding system to support the identification and labeling of failure modes for typical CubeSats’ items. Subsequently, each FMECA coefficient (i.e., Severity, Occurrence, Detectability) has been linked to the CubeSat’s structural properties, reducing subjectivity by means of techno-centric proxy indicators. The approach has been validated in the design phases of a 6-Units university CubeSat for the observation of M-Dwarf stars and binary systems. The performed analysis supported the design process and allowed to identify the major criticalities of the CubeSat design, as demonstrated in the extended case study included in the paper. The formalized method could be applied to design procedures for nano-satellites, as well as being expanded for research and development in a variety of space missions.

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Fuzzy-Based Approach to Solve Classical Risk Priority Number Drawbacks for Railway Signaling Systems

Ciani

Guidi

Patrizi

2023

IEEE Intell. Transport. Syst. Mag.

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An innovative Goddard Space Flight Center methodology for using FMECA as a risk assessment and communication tool

Cited by 3 publications

References 0 publications

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

A Critical Comparison of Alternative Risk Priority Numbers in Failure Modes, Effects, and Criticality Analysis

A Reliability Engineering Approach for Managing Risks in CubeSats

Fuzzy-Based Approach to Solve Classical Risk Priority Number Drawbacks for Railway Signaling Systems

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