Abstract：To identify the CTQ of solar photovoltaic modules complex process oriented to green energy products, the quality relational model was proposed based on state space algorithm. Partial least-squares regression (PLSR) was introduced and imported into quality relational model to establish CTQ identification model for complex process product. The variable importance in projection (VIP) was used to verify the validity and the correctness of critical quality characteristics. The productive process of solar photovoltaic modules was analyzed as an example. The results show that the new method not only can effectively identify the quality characteristic of solar photovoltaic module complex process output for the impact of terminal product, but also can extract the CTQ of solar photovoltaic module from discrete production process. The feasibility of the proposed method is verified.
于影霞, 盛敬峰. 面向绿色能源产品的太阳能光伏组件复杂工序CTQ识别模型与算法[J]. 江苏大学学报（自然科学版）, 2017, 38(2): 197-203.
YU Ying-Xia, SHENG Jing-Feng. CTQ identification model and algorithm of solar photovoltaic modules complex process oriented to green energy product[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2017, 38(2): 197-203.
2017, Vol. 38 
