Fuzzy methodology application for failure analysis of transmission system

Panchal, Dilbagh; Jamwal, Umesh; Srivastava, Priyank; Kamboj, Kushal; Sharma, Rohit

doi:10.1504/ijmor.2018.089678

Cited by 22 publications

(4 citation statements)

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“…This approach considers the Risk Priority Number (RPN) for prioritizing failure causes; the scores for these causes are computed by multiplying Of, S and Od. However, the crisp RPN score based ranking results were disparaged by many researchers because of many reasons [29,30,31]. Significant disparaged results include:…”

Section: Fmea Approachmentioning

confidence: 99%

A Structured Framework for Reliability and Risk Evaluation in the Milk Process Industry Under Fuzzy Environment

Gopal

Panchal

2021

FU Mech Eng

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This paper aims at proposing a novel integrated framework for studying reliability and risk issues of the curd unit in a milk process industry under uncertain environment. The considered plant’s complex series-parallel configuration was presented using the Petri Net (PN) modeling. The Fuzzy Lambda-Tau (λ-τ) approach was applied to study and analyze the reliability aspects of the considered plant. Failure dynamics of the curd unit has been analyzed with respect to increasing/ decreasing trends of the tabulated reliability indices. Availability of the considered plant shows a decreasing trend with an increase in spread values. For improving the system’s availability, a risk analysis was done to identify the most critical failure causes. Using the traditional FMEA approach, the FMEA sheet was generated on the basis of expert’s knowledge/experience. The Fuzzy-Complex Proportional Assessment (FCOPRAS) approach was applied within FMEA approach for identification of critical failure causes associated with different subsystem/components of the considered plant. In order to check the consistency of the ranking results, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) was applied within the FCOPRAS approach. Ranking results are compared for checking consistency and robustness of critical failure causes related decision making which would be useful in designing the finest maintenance schedule for the considered curd unit. Overheating/moisture lead to winding failure (MSCP5), visible sediment of milk jam in filter (MBFP3), improper quality of oil (H4), blade breakage (CTK4), wearing in gears (PFM11), and cylinder leakage (CFM7) were recognized as the most critical failure causes contributing to system unavailability. The analysis results were supplied to the maintenance manager for framing a suitable time-based maintenance intervals policy for the considered unit.

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Section: Fmea Approachmentioning

confidence: 99%

A Structured Framework for Reliability and Risk Evaluation in the Milk Process Industry Under Fuzzy Environment

Gopal

Panchal

2021

FU Mech Eng

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“…In [17], the author applied the fuzzy algorithm to subhealth assisted diagnosis. Based on rough sets and fuzzy mathematics, the training set was used to extract important features in different subhealth classifications and generate fuzzy weight matrices [18]. The results of the test set were achieved by the comprehensive calculation of the fuzzy weight matrix and the eigenvalues of the subhealth symptoms.…”

Section: Related Workmentioning

confidence: 99%

Quantitative of Badminton Practice Based on Wireless Sensor Network

Huang¹,

Zhang²,

Pang³

et al. 2021

Wireless Communications and Mobile Computing

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In recent years, badminton sports have attracted the public and the majority of young students. Badminton training has received extensive attention in the field of sports. However, there is currently no effective and accurate method for effective analysis of badminton training. In order to solve this problem, this paper combines the training teaching theory and the representation training theory and applies the fuzzy algorithm to construct the fuzzy evaluation model based on the analytic hierarchy process. After the experiment, the test scores of the sports quality of the two groups of badminton special students were improved. Through the screening of the seven functional modes of action, it was found that the special students’ left and right symmetry differences were obvious, the lower limbs were not stable, the core area was weak, and the muscle control ability on both sides of the spine needed to be strengthened.

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“…They systematically classified the existing literature and concluded that the FMEA approaches introduced in the last decades can be divided into three categories according to their failure mode prioritization methods: multicriteria decision-making, mathematical programming and integrated approaches. In addition, it can be observed from the surveyed literature that the fuzzy rule-based system is the most popular method for prioritizing failure modes (Liu et al, 2013;Panchal and Kumar, 2017;Panchal et al, 2018a). Conventional risk evaluation approaches nevertheless ignore the fact that many contemporary organizational and process components or failure effects across hierarchical levels of a system are inherently complex (O'Keeffe et al, 2015;Pasman et al, 2014), and they are not sufficient to explain all that can go wrong.…”

Section: Related Workmentioning

confidence: 99%

Total risk evaluation framework

Kosztyán

Csizmadia

Kovács

et al. 2020

IJQRM

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PurposeThe purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.Design/methodology/approachA real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.FindingsThe essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.Originality/valueIncreasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.

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Fuzzy methodology application for failure analysis of transmission system

Cited by 22 publications

References 0 publications

A Structured Framework for Reliability and Risk Evaluation in the Milk Process Industry Under Fuzzy Environment

A Structured Framework for Reliability and Risk Evaluation in the Milk Process Industry Under Fuzzy Environment

Quantitative of Badminton Practice Based on Wireless Sensor Network

Total risk evaluation framework

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