... 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...

... is obtained. This research provides effective support for the capacity-based classification of large-scale decommissioned power batteries. Email: 939611809@qq.com Email: congliang0325@126.com Email: 18742017921@163.com Email: liuww@dlut.edu.cn Email: yelin.deng@suda.edu.cn Email...

... 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...

... 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...

... 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...

... 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...