An assembly quality adaptive control system is proposed, developed and applied.
The system is utilized to reach monitoring, data capture, tracing, and analysis.
Assembly quality control threshold optimization is built based on BP neural network.
Assembly performance prediction is built based on BP neural network.
The assembly precision, stability and efficiency are improved by applying the system.