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Keywords: classification
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Journal Articles
Article Type: Technical Briefs
J. Manuf. Sci. Eng. September 2022, 144(9): 094504.
Paper No: MANU-22-1097
Published Online: July 29, 2022
... Email: frederik.spoden@student.kit.edu Email: sven.matthiesen@kit.edu Email: thomas.gwosch@kit.edu 25 02 2022 22 06 2022 22 06 2022 29 07 2022 manual manufacturing sensing sensors monitoring diagnostics industry 4.0 activity recognition classification...
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2022, 144(2): 021003.
Paper No: MANU-20-1714
Published Online: August 4, 2021
... is obtained. This research provides effective support for the capacity-based classification of large-scale decommissioned power batteries. Static capacity test with 0.2 C current rate was carried out on the battery with good appearance, and the cells with abnormal voltage were excluded. The number...
Journal Articles
Article Type: Research Papers
J. Manuf. Sci. Eng. October 2019, 141(10): 101008.
Paper No: MANU-19-1269
Published Online: August 31, 2019
... mechanisms of the IME flowcool system. A generalizable framework of engineering-based data-driven failure diagnostics and prediction are developed using random forest-based classification and a deep long short-term memory (LSTM) based method. The proposed framework and methods are demonstrated and validated...
Journal Articles
Article Type: Research-Article
J. Manuf. Sci. Eng. April 2019, 141(4): 041011.
Paper No: MANU-18-1132
Published Online: February 28, 2019
... process conditions, a new approach of K-means statistical clustering algorithm is used for the classification of different process conditions, and quantitative evaluation of the classification performance in terms of cohesion and isolation of the clusters. The identified acoustic signatures, quantitative...
Journal Articles
Article Type: Technical Papers
J. Manuf. Sci. Eng. November 2005, 127(4): 846–856.
Published Online: March 8, 2005
... attention to apparently defective regions, a recognition method that performs automatic feature derivation based on a set of training images and hierarchical classification, and an action step that controls attention and further decision processes. The method adapts to variations incrementally by updating...
Journal Articles
Article Type: Technical Papers
J. Manuf. Sci. Eng. August 2005, 127(3): 677–686.
Published Online: August 1, 2004
... mills face concerns the surface quality of their boards. As the demands of customers become more precise, very thin overlays are becoming more popular. Thus the problem of surface quality control and classification is clearly identified. In this paper, a particleboard surface-roughness classification...