A Novel FMEA Model Using Hybrid ANFIS–Taguchi Method

Boran, Semra; Gökler, Seda Hatice

doi:10.1007/s13369-019-04071-7

Cited by 9 publications

(6 citation statements)

References 38 publications

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“…On the other hand, the ANFIS model, with the benefits of both neural networks (NNs) and FIS principles in a single framework, has been used to reinforce the FMEA capabilities and manage the uncertainties in risk analysis [45][46][47]. For instance, an ANFIS model was developed to improve risk management and manage the uncertainties in risk variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

et al. 2022

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Fault diagnosis and prognosis methods are the most useful tools for risk and reliability analysis in food processing systems. Proactive diagnosis techniques such as failure mode and effect analysis (FMEA) are important for detecting all probable failures and facilitating the risk analysis process. However, significant uncertainties exist in the classical-FMEA when it comes to ranking the risk priority numbers (RPNs) of failure modes. Such uncertainties may have an impact on the food sector’s operational safety and maintenance decisions. To address these issues, this research provides a unique FMEA framework for risk analysis within an edible oil purification facility that is based on certain well-known intelligent models. Fuzzy inference systems (FIS), adaptive neuro-fuzzy inference systems (ANFIS), and support vector machine (SVM) models are among those used. The findings of the comparison of the proposed FMEA framework with the classical model revealed that intelligent strategies were more effective in ranking the RPNs of failure modes. Based on the performance criteria, it was discovered that the SVM algorithm classifies the failure modes more accurately and with fewer errors., e.g., RMSE = 7.30 and MAPE = 13.19 with that of other intelligent techniques. Hence, a sensitivity FMEA analysis based on the SVM algorithm was performed to put forward suitable maintenance actions to upgrade the reliability and safety within food processing lines.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

et al. 2022

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“…Geriye kalan %30'luk kısmı olan 156 haftalık veri ise test için ayrılmıştır. ANFIS'in doğruluğu; yapılarını ve öğrenmelerini etkileyen parametrelerin doğru belirlenmesi ile ilişkilidir [30]. Literatürde yapılan çalışmaların çoğunda [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], bu parametreler rastgele veya deneme yanılma yöntemiyle seçilmiştir.…”

Section: Amaçlanan Model (Proposed Model)unclassified

“…ANFIS'in doğruluğu; yapılarını ve öğrenmelerini etkileyen parametrelerin doğru belirlenmesi ile ilişkilidir [30]. Literatürde yapılan çalışmaların çoğunda [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], bu parametreler rastgele veya deneme yanılma yöntemiyle seçilmiştir. Ancak bu durumda daha iyi sonuç verecek parametre kombinasyonunun belirlenememesi söz konusudur.…”

Section: Amaçlanan Model (Proposed Model)unclassified

PCA Esaslı Hibrit ANFIS-Taguchi Yöntemi ile Kan Bankası için Talep Tahmini

Gökler

Boran

2020

Bilişim Teknolojileri Dergisi

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Özet-Kan; hastalıklar, ameliyatlar veya yaralanmalar nedeniyle her gün binlerce insan tarafından ihtiyaç duyulan hayati bir üründür. Bu nedenle hastanelerin kan ihtiyacını karşılayan kan bankalarının stoklarında yeterli miktarda kan bulundurması gereklidir. Gereğinden az miktarda kan elde bulundurulması ihtiyacın karşılanamaması ve can kaybı gibi önemli sorunlar oluştururken, fazla miktarda kanın stoklanması ise kanın bozulmasına ve kan ihtiyacı olan farklı hastanelerin stoksuz kalmasına neden olmaktadır.

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“…As a common method of reliability analysis, FMEA is widely used in the design and production stage of various products, such as offshore wind turbines [3], furniture manufacturing [4], semiconductor design [5], and other industries. FMEA identifies all potential failure modes by analyzing the subsystems and parts that make up the product and each step of the product's design process.…”

Section: Introductionmentioning

confidence: 99%

Failure Evaluation of Electronic Products Based on Double Hierarchy Hesitant Fuzzy Linguistic Term Set and K-Means Clustering Algorithm

et al. 2022

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The extent of failure evaluation depends on the complexity and significance of electronic products. However, traditional failure mode and effect analysis (FMEA) has many shortcomings, which brings large difficulty to failure evaluating work. This paper uses the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) and the K-means clustering algorithm to improve the shortcomings of traditional FMEA. The DHHFLTS is a set of language terms based on the symmetry method and uniform language granularity. Firstly, we determine the product failure mode and set up an evaluation team after formulating an evaluation symmetrical language set. The psychological changes of the evaluators can be truly expressed by using the DHHFLTS. Secondly, the entropy weight method is used to calculate the weight of the evaluation members. The evaluation information of the evaluation personnel on the failure mode is aggregated based on the weight of the evaluation members. Then, the K-means clustering algorithm is used to calculate the distance between failure modes and each cluster center point by using the normalized weight of influencing factors and the evaluation distance of each evaluator. Finally, the evaluation of an electromagnet failure mode is taken as an example to prove the objectivity and practicability of the new method.

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A Novel FMEA Model Using Hybrid ANFIS–Taguchi Method

Cited by 9 publications

References 38 publications

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

PCA Esaslı Hibrit ANFIS-Taguchi Yöntemi ile Kan Bankası için Talep Tahmini

Failure Evaluation of Electronic Products Based on Double Hierarchy Hesitant Fuzzy Linguistic Term Set and K-Means Clustering Algorithm

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