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

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