基于质量功能展开的免耕播种机可靠性预计OA

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.