Abstract
Medium voltage insulators are essential and versatile components in electrical engineering. Quality control of the manufacturing process for the insulators has a significant role in their economic production and reliable operation. As the quality of medium voltage insulator is mainly affected by the process parameters of the automatic pressure gelation process (APG), the optimal process settings are required to achieve a satisfactory quality target. However, traditional process parameters’ optimization methods are often cumbersome and cost-consuming. Moreover, the operational cost of APG for insulator production is relatively high. Therefore, the determination of the optimal settings becomes a significant challenge for the quality control of insulators. To address the above issues, an idea of knowledge-informed optimization was proposed in this study. Based on the above idea, a knowledge-informed simultaneous perturbation stochastic approximation (SPSA) methodology was formulated to reduce the optimization costs, and thus improve the efficiency of quality control. Considering the characteristics of SPSA, the historical gradient approximations generated during the optimization process were utilized to improve the accuracy of gradient estimations and to tune the iteration step size adaptively. Therefore, an implementation of a quality control strategy of knowledge-informed SPSA based on historical gradient approximations (GK-SPSA) was thus constructed. In this paper, the GK-SPSA-based quality control method was applied to the weight control of a kind of post insulators. The experimental simulation results showed that the revised knowledge-informed SPSA was effective and efficient on quality control of medium voltage insulators.
Highlights
Medium voltage insulators are widely used in electrical switches, electrical control devices, and other electrical equipment [1,2]
All the tests were conducted on the efficiency of GK-simultaneous perturbation stochastic approximation (SPSA), different scenarios were constructed and tested
Idea of a knowledge-informed optimization strategywhich was proposed address the challenges faced the by the quality control of the medium voltage insulators, provides atopossible the challenges faced by theofquality ofprocess the medium insulators, which provides a possible solution for quality control a typecontrol of batch with voltage relatively high operational costs
Summary
Medium voltage insulators are widely used in electrical switches, electrical control devices, and other electrical equipment [1,2]. Most of the medium voltage insulators are manufactured by a widely used technology—the epoxy resin automatic pressure gelation technology (APG) [3]. For APG technology, the critical process for quality control is the automatic pressure gelation process. The insulators have a wide range of types with continually changing customer demands. It must meet the needs of flexible manufacturing. All the above factors make it a challenge to implement quality control of medium voltage insulators efficiently. A severe challenge is put forward for quality control of the production of insulators
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