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A case study involving a semiconductor manufacturing plant utilized an AI-driven anomaly detection system to monitor vacuum pumps. The system identified a deviation in vibration patterns three days prior to a potential catastrophic failure. This early detection allowed the plant to source replacement parts without halting the production line, saving an estimated $150,000 in lost productivity [7]. [4] Author 1 and Author 2, 2021, “Title
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[7] Zhang, Y., and Liu, X., 2021, "An AI-Driven Approach for Anomaly Detection in Semiconductor Manufacturing," Journal of Manufacturing Systems , 58, pp. 210–221.
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