New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

Ivančan, Jelena; Lisjak, Dragutin

doi:10.3390/machines9110292

Cited by 26 publications

(22 citation statements)

References 31 publications

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“…This is due to the fact that the importance of the scores (S,O,D) are very similar, at least theoretically, when, in real life, this is not the case. For this reason, we have decided to combine the FMEA approach with the fuzzy logic technique, which should yield a single output based on various input data [ 52 ].…”

Section: Methodsmentioning

confidence: 99%

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

et al. 2022

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Medical robotics is a highly challenging and rewarding field of research, especially in the development of minimally invasive solutions for the treatment of the worldwide leading cause of death, cancer. The aim of the paper is to provide a design methodology for the development of a safe and efficient medical robotic system for the minimally invasive, percutaneous, targeted treatment of hepatocellular carcinoma, which can be extended with minimal modification for other types of abdominal cancers. Using as input a set of general medical requirements to comply with currently applicable standards, and a set of identified hazards and failure modes, specific methods, such as the Analytical Hierarchy Prioritization, Risk Analysis and fuzzy logic Failure Modes and Effect Analysis have been used within a stepwise approach to help in the development of a medical device targeting the insertion of multiple needles in brachytherapy procedures. The developed medical device, which is visually guided using CT scanning, has been tested for validation in a medical environment using a human-size ballistic gel liver, with promising results. These prove that the robotic system can be used for the proposed medical task, while the modular approach increases the chances of acceptance.

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Section: Methodsmentioning

confidence: 99%

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

et al. 2022

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“…In this study, three different formulas are proposed for the PRISM number calculation, as shown by Equations ( 8)- (10). Note that, the PRISM method is for considering partial risks, no formula is previously given for any calculations.…”

Section: The Characteristics Have the Following Valuesmentioning

confidence: 99%

“…Typically, the aim is to combine the strength of the risk assessment methodologies in this case. Throughout the decades of development, the reliability, effectiveness, usefulness, applicability, etc., of the platform risk assessment methodologies were significantly increased by dominantly mathematic-based methodological developments [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method

Bognár

Hegedűs

2022

Mathematics

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The PRISM (partial risk map) methodology is a novel risk assessment method developed as the combination of the failure mode and effect analysis and risk matrix risk assessment methods. Based on the concept of partial risks, three different aggregation functions are presented for assessing incident risks. Since the different aggregation functions give different properties to the obtained PRISM numbers and threshold surfaces (convex, concave, linear), the description of these properties is carried out. Similarity analyses based on the sum of ranking differences (SRD) method and rank correlation are performed and robustness tests are applied related to the changes of the assessment scale lengths. The PRISM method provides a solution for the systematically criticized problem of the FMEA, i.e., it is not able to deal with hidden risks behind the aggregated RPN number, while the method results in an expressive tool for risk management. Applying new aggregation functions, proactive assessment can be executed, and predictions can be given related to the incidents based on the nature of their hidden risk. The method can be suggested for safety science environments where human safety, environmental protection, sustainable production, etc., are highly required.

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“…Drawbacks of the conventional FMECA method are also addressed in Ref. [33] by examples in the oil refinery field, providing a new fuzzy risk quantification approach method, "four fuzzy logic system", that includes pre-assessment by sets of fuzzy logic systems.…”

Section: State Of the Artmentioning

confidence: 99%

Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques

et al. 2022

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Safety assessment of modern critical instrumentation and control systems is a complicated process considerably dependent on expert techniques, single/multiple faults consideration scope, other assumptions, invoked limitations, and support tools used during the assessment process. Ignoring these assumptions, as well as the significance of expert and tool influence, could lead to such effects as functional safety underestimation or overestimation in such a manner that functional safety assessment correctness and accuracy are affected. This paper introduces XMECA (x modes, effects, and criticality analysis, where x could be from different known techniques and domains—failures in functional safety, vulnerabilities and intrusions regarding cybersecurity, etc.) as a key technique of safety assessment. To verify the results obtained as XMECA deliverables, expert and uncertainty modes, effects, and criticality analysis (EUMECA) is performed, in particular focusing on decisions and judgments made by experts. Scenarios for processing verbal and quantitative information of XMECA tables from experts are offered. A case study of a possible functional safety assessment approach that considers the above-mentioned techniques and a supporting tool is provided. To assess the trustworthiness of safety analysis and estimation using XMECA, a set of the metrics is suggested. Features of adapting the suggested method for security assessment considering intrusions, vulnerabilities, and effects analysis (IMECA technique) are discussed.

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New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

Cited by 26 publications

References 31 publications

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

Risk Assessment-Oriented Design of a Needle Insertion Robotic System for Non-Resectable Liver Tumors

Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method

Towards Trustworthy Safety Assessment by Providing Expert and Tool-Based XMECA Techniques

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