Abstract
Current trends in precision machinery include increased adaptability, speed and reliability. This, combined with the development of artificially-intelligent automatic sensors can lead to the establishment of highly-reliable and systematic manufacturing systems. During the automation process, equipment process parameters frequently need to be adjusted to match the requirements of different processes. Thus how to best maintain normal equipment operation and stable quality through these frequent adjustments is a key issue for manufacturers. Therefore, high-quality automated production systems allowing for fast-changeover and real-time automatic detection and performance monitoring are effectively needed.
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