The Intelligent Equipment Fault Diagnosis and Maintenance course primarily covers the analysis and troubleshooting methods for intelligent equipment system fault diagnosis, spindle fault diagnosis, feed axis fault diagnosis, tool change fault diagnosis, and auxiliary function fault diagnosis. Electromechanical maintenance specialties consider this course as a compulsory core professional subject. Moreover, it is also essential for the further training of equipment maintenance technicians and mandatory for pre-job examinations for positions such as machine tool maintenance engineers, machine tool commissioners, equipment installers, after-sales service repair personnel, and machine operators.
Through the study of this course, students can master the basic knowledge of intelligent equipment maintenance, proficiently grasp the control logic of intelligent equipment, general methods for fault diagnosis of mechanical and electrical equipment, and essential skills for universal equipment maintenance. CNC machine tools have high precision and rigidity, which allows for favorable machining parameters and high productivity. The high degree of automation in these machine tools can reduce labor intensity; however, it demands higher quality from operators and even higher technical requirements from maintenance personnel.
The teaching design adopts a "fault diagnosis as the carrier" approach, combined with a teaching model of "project orientation, task driving, work-integrated learning, school-enterprise cooperation", which demonstrates distinct vocational characteristics. The course is divided into six modules and 35 knowledge points: Module I, Intelligent Equipment Diagnosis Methods; Module II, Intelligent Control Technology; Module III, Understanding CNC Machine Tool Fault Diagnosis; Module IV, Application Technology of Industrial Robots; Module V, Maintenance and Maintenance of Industrial Robots; Module VI, Intelligent Manufacturing Cell Integrated Application.
