Reliability Study of an Intelligent Profiling Progressive Automatic Glue Cutter Based on the Improved FMECA Method

Heng Zhang, Yaya Chen, Jingyu Cong, Junxiao Liu, Zhifu Zhang and Xirui Zhang ()
Additional contact information
Heng Zhang: School of Information and Communication Engineering, Hainan University, Haikou 570228, China
Yaya Chen: School of Information and Communication Engineering, Hainan University, Haikou 570228, China
Jingyu Cong: School of Information and Communication Engineering, Hainan University, Haikou 570228, China
Junxiao Liu: School of Mechanical and Electrical Engineering, Hainan University, Haikou 570228, China
Zhifu Zhang: School of Mechanical and Electrical Engineering, Hainan University, Haikou 570228, China
Xirui Zhang: School of Information and Communication Engineering, Hainan University, Haikou 570228, China

Agriculture, 2023, vol. 13, issue 8, 1-17

Abstract: This study introduces the fuzzy theory approach as an enhancement to the traditional failure mode, effect, and criticality analysis (FMECA) method in order to address its limitations, which primarily stem from subjectivity and a lack of quantitative analysis. The proposed method, referred to as FMECA improvement based on fuzzy comprehensive evaluation, aims to quantify the qualitative aspect of the analysis and provides a detailed outline of the analysis procedure. By applying the enhanced FMECA method to assess the reliability of an intelligent profiling progressive automatic rubber cutter, the hazard ranking for each failure mode of the cutter can be determined, thereby identifying areas that require reliability improvement. The analysis outcomes demonstrate that this method establishes a theoretical foundation for subsequent cutter improvement designs, enables early identification of potential failures, and consequently leads to a reduced failure rate and an enhanced reliability level for the intelligent profiling progressive automatic cutter. Furthermore, this innovative agricultural equipment reliability analysis and testing approach holds significant value in elevating the reliability standards of agricultural equipment as a whole and can be explored and implemented in other agricultural machinery contexts.

Keywords: natural rubber; intelligent profiling progressive automatic glue cutter; FMECA method; fuzzy comprehensive evaluation; reliability analysis (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/13/8/1475/pdf (application/pdf)
https://www.mdpi.com/2077-0472/13/8/1475/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:8:p:1475-:d:1202704

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().