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[Intelligent Manufacturing Equipment Technology] 3.Intelligent Equipment Fault Diagnosis and Maintenance
#ICT# #IOT#

Lesson Code: TCEN2024G018

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Academic Hours
3.50hours
Publish Date
Nov 2024

Lecturer

1. Lecturer: LIN Xianxin, Guangxi Technological College of Machinery and Electricity

2. Lecturer: XIN Huajian, Guangxi Technological College of Machinery and Electricity

General Introduction
This course primarily introduces the methods for analyzing and troubleshooting faults in intelligent equipment systems, including spindle fault diagnosis, feed axis fault diagnosis, tool change fault diagnosis, and auxiliary function fault diagnosis. This course is considered a mandatory core course for
mechatronic maintenance-related majors and is essential for equipment maintenance technicians seeking advanced training. It is a requisite examination course for positions such as machine tool maintenance engineers, machine tool testers, equipment installers, after-sales service technicians, and machine tool operators.

This Course is for
● Helping trainees master the foundational knowledge of intelligent equipment maintenance.
● Enabling trainees to proficiently grasp the control logic of intelligent equipment, general methods for fault diagnosis of electromechanical equipment, and essential skills for maintaining general equipment.

Learning Materials

● Corresponding PPT
● Online Course Video
● Simulation Question Tanks

Recognized By

Benefits of Learning

● Being able to master the basic principles and structures of intelligent equipment.
● Capable of understanding the operational processes and methods of intelligent equipment.
● Being familiar with the fundamental theoretical knowledge of intelligent equipment maintenance and diagnosis.
● Capable of proficiently using various diagnostic and maintenance tools.
● Being able to perform fault diagnosis and analysis of intelligent equipment.
● Capable of conducting effective maintenance and debugging based on diagnostic results.

Courses Videos
1.1 Basic Methods for Maintaining and Diagnosing Intelligent Equipmentplay 1.2 Common Methods for Diagnosing Faults in Intelligent Equipmentplay 1.3 Control Principle of Intelligent Equipmentplay 2.1 Intelligent Open-loop Control Technologyplay 2.2 Intelligent Semi-closed Loop Control Technologyplay 2.3 Intelligent Closed-loop Control Technologyplay 3.1 Types and Classifications of CNC Machine Toolsplay 3.2 The Classification of CNC Machine Tool Faultsplay 3.3 Methods for Diagnosing CNC Machine Tool Faultsplay 3.4 Lubrication Inspection and Maintenance of CNC Machine Toolsplay 3.5 Diagnostics for CNC Machine Tool Spindle Positioning Failureplay 4.1 Industrial Robot Mechanical Structureplay 4.2 Diagnosis of Mechanical Faults in Industrial Robotsplay 4.3 Analysis of Electrical Faults in Industrial Robotsplay 4.4 Precautions for Industrial Robot Maintenanceplay 5.1 Diagnosis of Overload Alarm Malfunctions in Industrial Robotsplay 5.2 Troubleshooting I/O Signal Faults in Industrial Robotsplay 5.3 Diagnosis of Industrial Network Communication Faultsplay 6.1 Diagnosis of Industrial Network Communication Faultsplay 6.2 The Composition of Smart Manufacturing Unitsplay 6.3 Maintenance Content and Strategies of Intelligent Manufacturing Unitsplay 6.4 Digital Workshopplay 6.5 Smart Factoryplay 7.1 Communication Methods for Intelligent Equipment in Smart Manufacturingplay 7.2 Diagnosis of Industrial Ethernet Communication Faultsplay 8.1 Design of the Startup Circuit for CNC Machine Toolsplay 8.2 Circuit Design of the Servo System for CNC Machine Toolsplay 8.3 Control Circuit of the Tool Changer for CNC Machine Toolsplay 8.4 Design of Coolant and Lubrication System Control for CNC Machine Toolsplay

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