NSF award 2517646 · Regents of the University of Michigan - Dearborn

Collaborative Research: Improving Zero-Shot Learning of Manufacturing Anomalies by Leveraging Textual Sources

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2517646
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $185,000
Awardee: Regents of the University of Michigan - Dearborn, Dearborn, MI
Program: MSI-Manufacturing Systms Integ, Special Initiatives
Directorate: ENG

Abstract

In advanced manufacturing systems, anomalies such as unexpected deviations from normal process behavior can lead to defective products or production disruptions. Detecting these anomalies early is essential for maintaining product quality and reducing waste. However, identifying such faults is challenging, especially when their occurrence is rare and thus there is a lack of labeled data for conventional machine…

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