The precondition of quality monitoring of mechanical equipment in the analysis and fault diagnosis is to analyze the causes of the faults according to the characteristics of the quality problems, find the fault parts accurately, and propose the improvement measures to achieve the purpose of the quality control of the finished products. The quality problems and the causes of the faults in each system of the finished products need comprehensive judgment and reasoning of various information. Based on the experience and knowledge of quality experts, the multi-sensor data fusion technology can be used to diagnose quality faults quickly.
The multi-sensor data fusion technology has the following advantages:
1. the dimension and confidence level of quality data detection are increased, which reduces the performance requirements of single sensor.
2. the measurement performance of the detection process is improved and the response effectiveness is increased.
3. the coverage of space and time is extended and the spatial resolution is improved.
4. the system reliability and maintainability are improved, and the performance is stable.
5. the system has good fault tolerance and enhances the robustness of the quality monitoring system.
6. the advantages of the system are complementary and resources are shared, which can improve the utilization rate of quality information resources.
