Improvement of Failure Mode, Effects, and Criticality Analysis by Using Fault Tree Analysis and Analytical Hierarchy Process

Mzougui, Ilyas; Elfelsoufi, Zoubir

doi:10.1007/s11668-019-00681-3

Cited by 10 publications

(4 citation statements)

References 16 publications

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“…For instance, Braband 17,35 developed the ARPN with a very simple addition formula of risk factors, which results in the continuous integer values without holes and the low sensitive for risk factors. 20 In order to derive risk factors' weights, the AHP was used by Mzougui and Elfelsoufi 36 and Carmignani, 22 and the fuzzy AHP as an extension of AHP was used by Hu et al 37 Combining with risk factors' weights, a new ARPN 36,38 was proposed using the weighted sum of risk factors, which can be easily integrated with other important factors such as security and environment 36 as well as declaration statement and use frequency as severity. 37 Carmignani 22 calculated the risk level of a certain failure mode by the weighted summation of the ratio of the failure mode to all failure modes for each risk factor.…”

Section: Literature Reviewmentioning

confidence: 99%

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Wang

Ran

et al. 2021

Quality & Reliability Eng

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Failure mode and effects analysis is a widely applied risk assessment method in various engineering and management domains. However, the identification of failure modes is difficult and uncountable. Therefore, a function-motion-action (FMA) decomposition method is developed to identify failure modes from the perspective of motion and extraordinarily suitable for mechatronic products. In the typical risk assessment, the ranking orders of failure modes are determined by risk priority number (RPN), which has been criticized for several drawbacks and improved by some alternative RPNs, but some drawbacks still exist, such as duplicate values, narrow admissible value range, and missing failure modes' and risk factors' weights. This study formulates several alternative weighted RPNs to overcome the above drawbacks, and the final ranking orders of failure modes are garnered through the integrated RPN (IRPN). First, failure modes are identified via the proposed FMA decomposition method and evaluated with crisp values, whose weights are aggregated from the basic failure modes' weights. Second, the weights of the basic failure modes, risk factors and different RPN methods are derived from analytic hierarchy process. Third, the conditional weights of risk factors are determined by incorporating risk factors' weights and failure modes' conditional weights deduced from Shannon entropy. Next, several alternative weighted RPNs and IRPN are formulated to rank failure modes' risk levels. Finally, an illustrative example about computer numerical control machine center is presented to demonstrate the application and effectiveness of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Wang

Ran

et al. 2021

Quality & Reliability Eng

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“…In the analysis of the fault, it was found that a large part of the replaced relays were preventive replacements, this treatment means that the understanding of relay is not deep enough, and they are all imported products, their reliability and related design are unknown, so it is necessary to start from the inherent problems of the manufacturer. The inherent problems of the manufacturer analysis is based on FMEA(Failure Mode Effects Analysis) [1].Using the Risk Priority Number (RPN) [2] which is the product of the Occurrence Probability Ranking (OPR), the Effect Severity Ranking(ESR), and the Detection Difficulty Ranking (DDR), as shown in the following formula (1):…”

Section: Introductionmentioning

confidence: 99%

The inherent problems of the manufacturer analysis of the relays on EMU

Zuo¹,

Wang²,

Liu³

et al. 2023

International Conference on Optoelectronic Materials and Devices (ICOMD 2022)

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The relay is responsible for the power distribution and logic control function of the EMU. The failure of the relay affects the reliability of the system. Moreover, its failure often leads to the failure of important equipment or loops on the EMU, resulting in reduced speed operation or even shutdown, affecting the order and safety of driving. Systematically carry out work with inherent problems of the manufacturer analysis based on FMEA (Failure Mode Effects Analysis) using RPN (Risk Priority Number), provide support for effective life assessment and design selection.

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“…In terms of the possibilities of failure of bottom events, an algorithm of the intuitionistic fuzzy fault-tree analysis is proposed to calculate the fault interval of system components and to find the most critical system component for managerial decision-making based on some basic definitions [12]. To improve the performance of the FMEA method, some FMEA-based approaches are proposed to integrate the advantages of the Fault Tree Analysis (FTA) and FMEA [13,14]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of a Three-Engine Simultaneous Pouring Control System Based on Bayesian Networks Combined with FMEA and FTA

Cui,

Zheng,

Wang

et al. 2023

Applied Sciences

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Pouring is an important process in the production of solid propellant rocket engines, and usually, the cost of a solid propellant rocket engine is extremely high. Therefore, pouring production with high reliability is very important. The pouring of three engines of solid propellant rocket engines simultaneously can greatly improve its production efficiency. However, it makes the system more complex and redundant. For a multi-state system, it is difficult to make an accurate evaluation of system reliability. Aiming at the redundancy of multiple engines and acousto-optic combined control in the three-engine simultaneously slurry pouring alarm control system with dissimilar redundant alarm units, a reliability analysis method is proposed based on the combination of Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The control system is divided into several redundant states according to the alarm function, and then the Bayesian Networks method is used for reliability evaluation and calculation. Finally, the reliabilities of systems with dissimilar redundancy degrees are obtained. The tangible results of this research work are as follows: (1) The research results obtained by applying the FMEA method laid a foundation for the establishment of a fault trees model for analyzing the reliability of the control system using the FTA method, in addition, which can guide the maintenance and fault identification of the control system during engineering application. (2) The calculated value of the reliability of the control system is 0.999989, and the mean time between failures is MTBF is 5 × 104 by using the fault tree analysis method, which proves that the designed three-engine simultaneous pouring system is very reliable. (3) Based on the calculation and comparison of the Bayesian Networks of redundant three-engine pouring control systems, the circuit diagram of the improved control system is identified.

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Improvement of Failure Mode, Effects, and Criticality Analysis by Using Fault Tree Analysis and Analytical Hierarchy Process

Cited by 10 publications

References 16 publications

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

The inherent problems of the manufacturer analysis of the relays on EMU

Reliability Analysis of a Three-Engine Simultaneous Pouring Control System Based on Bayesian Networks Combined with FMEA and FTA

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