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为识别绿色能源产品太阳能光伏组件的复杂工序关键质量特性(critical quality characteristics,CTQ),提出基于状态空间算法(state space algorithm,SSA)构建质量关系模型.引入偏最小二乘算法(partial least-squares regression,PLSR),将其导入质量关系模型,进而建立复杂工序产品CTQ识别模型,最后应用变量投影重要性指标(variable importance in projection,VIP)验证提取的CTQ有效性和正确性.以太阳能光伏组件生产过程为例进行了实证分析.结果表明:新方法在克服各工序质量特性多重相关的情况下,不仅能有效地识别出光伏组件复杂工序输出的质量特性对终端产品质量的影响,还能提取出光伏组件复杂工序中关键质量特性;该方法的可行性得到了验证.
In order to identify the complex process critical quality characteristics (CTQs) of green energy products, a qualitative relationship model based on state space algorithm (SSA) was proposed, and partial least-squares (partial least-squares) regression and PLSR), and then imported into the quality relational model to establish the CTQ identification model of complex process products.At last, the validity and correctness of the extracted CTQ were verified by using variable importance in projection (VIP) Production process as an example.The results show that the new method not only can effectively identify the impact of the quality characteristics of the output of the complex process of PV modules on the quality of the end products but also can extract The key quality characteristics of the complex processes of PV modules are verified. The feasibility of this method has been verified.