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Keywords: anomaly detection
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Proceedings Papers

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A017, June 27–July 1, 2022
Paper No: MSEC2022-85459
... meaningful information from the vibration data. smart manufacturing machine learning anomaly detection PdM PHM Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference MSEC2022 June 27-July 1, 2022, West Lafayette, Indiana, USA MSEC2022-85459 ANOMALY...
Proceedings Papers

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A004, June 21–25, 2021
Paper No: MSEC2021-63465
.... Experiments in a case study on semiconductor manufacturing measurement data are performed to explore the relationship between latent features extracted and anomaly detection performance. The application of the proposed algorithm achieves a true positive detection rate of over 90% with false positive rate...
Proceedings Papers

Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A041, September 3, 2020
Paper No: MSEC2020-8300
... monitoring spatter analysis deep learning anomaly detection IN-SITU MONITORING OF LASER POWDER BED FUSION PROCESS ANOMALIES VIA A COMPREHENSIVE ANALYSIS OF OFF-AXIS CAMERA DATA Chaitanya Krishna Prasad Vallabh, Yubo Xiong, and Xiayun Zhao1 Department of Mechanical Engineering and Material Science...
Proceedings Papers

Proc. ASME. MSEC2011, ASME 2011 International Manufacturing Science and Engineering Conference, Volume 2, 289-296, June 13–17, 2011
Paper No: MSEC2011-50211
... 19 09 2011 Solutions for machinery anomaly detection and diagnosis are typically designed on an ad hoc, custom basis, and previous studies have shown limited success in automating or generalizing these solutions. Reusing and maintaining the analysis software, especially when...
Proceedings Papers

Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 547-554, October 15–18, 2007
Paper No: MSEC2007-31222
... Timed Petri Net (TPN). A real time anomaly detection system is then constructed by synchronizing the identified TPN model with the actual tool changing process through the event sequence. Any discrepancies between the model and actual system are recognized as anomalies. The test results show...