Application of Artificial Intelligence in automatic debugging of electromechanical equipment
人工智能在机电设备自动化调试中的应用探索

摘要

随着科技的飞速发展，人工智能技术逐渐融入机电设备自动化调试领域，为其带来新的变革与突破。通过运用人工智能算法，如机器学习、深度学习等，能够实现对机电设备运行数据的高效分析，精准识别设备状态，优化调试流程。该技术可提升调试的准确性与效率，减少人为失误，降低设备故障率，增强系统稳定性。在当前机电行业追求高效、智能发展的背景下，深入探索人工智能在此领域的应用具有重大现实意义，有望推动整个行业迈向新的发展阶段。

Abstract

With the rapid advancement of technology, artificial intelligence has been increasingly integrated into the field of automation debugging for electromechanical equipment, driving transformative innovations. By employing AI algorithms such as machine learning and deep learning, this technology enables efficient analysis of operational data, precise identification of equipment status, and optimization of debugging procedures. It enhances debugging accuracy and efficiency while reducing human errors, lowering equipment failure rates, and improving system stability. In the current context where the electromechanical industry pursues high-efficiency and intelligent development, in-depth exploration of AI applications holds significant practical value, potentially propelling the entire sector toward a new developmental stage.