【摘要】 汽车车身的装配质量是反映汽车整体生产水平的关键要素，白车身装配精度直接影响到整车的外观、密封性及空气动力学特性。目前国内汽车车身制造中存在大批量生产、小样本检测的特点，对白车身装配尺寸质量难以给出及时准确的评价。针对这种情况，提出一种应用经验贝叶斯理论，基于小样本检测对车身装配尺寸质量进行评价的方法。该方法充分利用历史稳定生产状态的数据，综合当前的小样本检测信息，对产品尺寸质量进行准确的估计，同时能够实现对车身尺寸质量及时有效的动态监测，为装配尺寸偏差的及时发现和控制提供了依据。给出了一个白车身测量数据的计算实例。仿真计算和实际应用表明，提出的方法是非常有效的。更多还原

【Abstract】 The assembly quality of auto body is the key element of the whole production level of a car，because the appearance， leak-proofness，and aerodynamic characteristics of the finished product depend on the dimensional quality of the body in white (BIW). At present，large-lot production a nd small sample measurement exist commonly in the auto plant in China，and accurate and quick evaluation of the quality of BIW is difficult to be achieved. Based on Bayesian theory，taking full advantages of the historical measurement information from stable production conditions，and synthesizing the current sample information，an evaluation method，which can precisely estimate the dimension quality while realizing the timing and effective dynamic monitoring of the BIW’s dimensional quality is provided. An opportunity for due discovery and control of assembly dimensional variation is given. An example of calculation about the practical measured data on BIW is given. Simulation calculation and real application show s that the method presented is very effective.更多还原