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| CTQ identification model and algorithm of solar photovoltaic modules complex process oriented to green energy product |
| School of Mechanotronics and Vehicle Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China |
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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.
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Received: 23 April 2016
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2017, Vol. 38 
