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[Objective] In the traditional curriculum of Electrical Machinery, students often struggle to grasp abstract theoretical concepts that are fundamental to the subject. These challenges are frequently compounded by methodological constraints that limit the practical application of these theories. Moreover, students may experience a disconnect between the academic material they study and the engineering standards widely used in the industry. [Methods] To address these limitations, this study introduces an innovative educational approach that incorporates real-world data from a transformer factory report, supplied by a collaborative industry partner, as an authoritative reference standard. This initiative aims to bridge the frequently encountered gap between academic theory and practical engineering applications. The paper outlines the development of an innovative experimental setup leveraging the capabilities of two robust software tools: Ansys Maxwell for magnetic field analysis and MATLAB/Simulink for electrical circuit analysis. Within this revised experimental framework, student groups are tasked with constructing models using these tools. The students then engage in a dual-path simulation process, where they not only simulate the electrical machinery but also compare their simulation results against the empirical data from the factory report. [Results] Through this comparison, a data feedback loop is established to meticulously analyze any discrepancies between the simulated outcomes and actual data. This detailed analysis provides valuable insights into the factors causing variations between theoretical predictions and real-world performance. This process not only enhances the students' understanding of the correlation between simulation results and actual product performance but also hones their ability to use multiple tools collaboratively to solve complex engineering problems. The practical implementation of this approach demonstrated that it effectively improves students' capabilities to apply theoretical knowledge to real-world scenarios. The approach also fosters a deeper understanding of the intricacies involved in the design and operation of electrical machinery. Furthermore, this method provides a pragmatic solution for conducting industry-education integrated experiments, especially in situations with limited access to measured operational data. [Conclusions] Integrating industry-standard data into the academic curriculum prepares students better for future challenges they may encounter in their engineering careers, ensuring that they are not only well-versed in theoretical concepts but also adept at applying them in practical, real-world contexts. The students can, thus, develop the necessary skills and knowledge to bridge the gap between academic learning and professional practice. Thus, students can develop into more competent and confident engineers, ready to tackle the complexities of the modern engineering landscape.
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Basic Information:
DOI：10.16791/j.cnki.sjg.2026.01.030
China Classification Code:TM30-4;G642.423
Citation Information:
[1]HAO Wenjuan,LI Weiwei.Exploration of transformer no-load loss innovative experiment based on dual-path simulation with data-closed-loop[J].Experimental Technology and Management,2026,43(01):244-250.DOI:10.16791/j.cnki.sjg.2026.01.030.
Fund Information:
江苏省现代教育技术研究2022年度课题（2022-12-99394）; 2025年江苏省高校教育信息化研究课题（2025JSETKT129）; 江苏省产教融合型品牌专业建设项目（苏教办高函[2023]16号）