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基于质量功能展开的免耕播种机可靠性预计

马力 蒲春溶 柴聚来 乔金友

中国农业大学学报2026,Vol.31Issue(5):181-192,12.
中国农业大学学报2026,Vol.31Issue(5):181-192,12.DOI:10.11841/j.issn.1007-4333.2026.05.15

基于质量功能展开的免耕播种机可靠性预计

Reliability prediction of no-till planter based on quality function deployment

马力 1蒲春溶 1柴聚来 2乔金友1

作者信息

  • 1. 东北农业大学工程学院,哈尔滨 150030
  • 2. 比亚迪股份有限公司,广东 深圳 518118
  • 折叠

摘要

Abstract

To address the scarcity of reliability data and the neglect of customer requirements in traditional prediction methods for no-till planters,this paper proposes a reliability prediction method based on Quality Function Deployment(QFD),with a case study on the 2BMFJ no-till precision soybean planter for wheat stubble fields.By constructing a three-level correlation matrix linking"Customer requirements"to"Technical characteristics"and then to"Subsystems",ten categories of customer requirements(encompassing failure prevention and operation quality)were transformed into seven quantifiable technical indicators,including criticality,technology maturity,and environmental harshness.An auto-correlation matrix was utilized to adjust the indicator weights,and a reliability prediction scoring matrix was developed to calculate the subsystem failure rates hierarchically.The results indicate a comprehensive machine reliability of 98.69%.The transmission subsystem(failure rate 0.533 3%)and the straw cleaning and mulching subsystem(failure rate 0.463 6%)were identified as weak links due to issues such as straw entanglement and high-load clogging.This method effectively overcomes the limitations of traditional models in terms of data scarcity and disconnection from user needs,providing a basis for the reliability design and optimization of critical components in no-till planters.

关键词

免耕播种机/可靠性预计/质量功能展开/客户需求/质量屋/麦茬地大豆

Key words

no-till planter/reliability prediction/Quality Function Deployment(QFD)/customer demands/house of quality/wheat stubble soybean

分类

农业科技

引用本文复制引用

马力,蒲春溶,柴聚来,乔金友..基于质量功能展开的免耕播种机可靠性预计[J].中国农业大学学报,2026,31(5):181-192,12.

基金项目

国家重点研发计划子课题(2021YFD2000405) (2021YFD2000405)

国家社会科学基金项目(22BJY240) (22BJY240)

中国农业大学学报

1007-4333

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