Mitigation of risk using rule based fuzzy FMEA approach

被引：0

作者：

Srivastava, Priyank ^{[1
,2
]}

Khanduja, Dinesh ^{[3
]}

Agrawal, V. P. ^{[4
]}

机构：

[1] Natl Inst Technol, Kurukshetra, Haryana, India

[2] AUUP, ASET, ME Dept, Noida, India

[3] Natl Inst Technol, ME Dept, Kurukshetra, Haryana, India

[4] TIET, ME Dept, Patiala, Punjab, India

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING | 2018年

关键词：

FMEA; Fuzzy Methodology; Fuzzy Inference System; FAILURE MODE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The aim of this research work is to show the application of rule based fuzzy failure mode and effect analysis (FMEA) approach on milling plant of a sugar mill The conventional FMEA approach has been used for prioritizing critical components based on risk priority number (RPN). To remove disadvantages of conventional FMEA, 'if- then' rules have been formed in fuzzy inference system (FIS) and fuzzy RPN has been calculated and prioritized. The scores of RPN and fuzzy RPN (FRPN) are compared to improve risk prioritization. For implementing proper maintenance strategy results have been forwarded to plant maintenance engineer.

引用

页码：26 / 30

页数：5

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