【摘要】 “传感与测试技术”是机械类专业的专业基础课程，具有理论广、实践性强的特点。然而传统的教学方法存在学生兴趣低、实践培养能力弱、与前沿研究脱节等问题。以新工科理念为指导，对课程教学改革进行初步尝试。教改以齿轮箱健康状态监测为例，剖析齿轮传动与振动信号的特点，建立集信号“采集—分析—决策”为一体的工程实践体系的教学方法，增强学生工程实践与创新能力；鉴于以深度学习技术为典型代表的人工智能的蓬勃发展及其在智能感知与决策中的广泛应用，初步引入人工智能方法，实现采集信号的智能识别，建立学生对人工智能的初步印象，增强学生对国际前沿研究的掌握。更多还原

【Abstract】 “Sensor and Testing Technology” is a basic course for mechanical majors, with the characteristics of broad theory and strong practice. However, traditional teaching methods have problems such as low student interest, weak practical cultivation ability, and disconnection from cutting-edge research. Guided by the emerging engineering education, a preliminary attempt is made to reform the teaching of this course. This educational reform takes the monitoring of gearbox status as an example to analyze the characteristics of gear transmission and vibration signals, and integrates them into the teaching of this course. It establishes an engineering practice system that integrates signal acquisition, analysis, and decision-making, enhancing students’ engineering practice ability;Given the rapid development of artificial intelligence, represented by deep learning technology, and its widespread application in intelligent perception and decision-making, artificial intelligence methods are initially introduced to achieve intelligent recognition of collected signals, establish students’ initial impression of artificial intelligence,and improve their mastery of international cutting-edge research.更多还原