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Anomaly Detection in Discrete Manufacturing Systems by Pattern Relation Table Approaches [PDF]
Sensors, 2020 Anomaly detection for discrete manufacturing systems is important in intelligent manufacturing. In this paper, we address the problem of anomaly detection for the discrete manufacturing systems with complicated processes, including parallel processes ...
Xinmiao Sun, Ruiqi Li, Zhen Yuan
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Industry Review of Distributed Production in Discrete Manufacturing. [PDF]
J Manuf Sci Eng, 2020 Abstract Distributed production paradigms have grown in discrete manufacturing as discrete products are increasingly made by global, distributed networks. Challenges faced by discrete manufacturing, such as increased globalization, market volatility, workforce shortages, and mass personalization have necessitated scalable solutions that ...
Helu M +4 more
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Generalized Separable Nonnegative Matrix Factorization Algorithm Based on Orthogonal Constraints [PDF]
Jisuanji gongcheng, 2023 Separable Nonnegative Matrix Factorization(NMF) is a special NMF method used to represent an entire dataset by extracting partial samples or key topics from the dataset.Generalized Separable Nonnegative Matrix Factorization(GSNMF) is an extended ...
Junhang CHEN, Zuyuan YANG, Mingyang LIU, Lingjiang LI
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Microcontroller-based Sonar Ultrasonic Water Level Control System with Closed-loop Control Approach [PDF]
MATEC Web of Conferences, 2023 This study proposes a microcontroller-based closed-loop water level control system that utilizes a sonar ultrasonic sensor to monitor and regulate water levels in a tank.
Ahmad Usman +5 more
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Big Data and Cognitive Computing, 2023 With the development of new-generation information technologies, such as big data and artificial intelligence, digital twins have become a key technology in intelligent manufacturing.
Jieyu Xie, Jiafu Wan
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IET Cyber-systems and Robotics, 2022 This paper studies a distributed formation problem for non‐holonomic mobile robots. Consideration of the leader dynamics of the robots as non‐ideal, that is, subject to disturbances/unmodelled variables, is the distinguishing feature of this work.
Peifen Lu +4 more
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Complexity, 2021 In this paper, a robust H∞ control problem of a class of linear parabolic distributed parameter systems (DPSs) with pointwise/piecewise control and pointwise/piecewise measurement has been investigated via the robust H∞ feedback compensator design ...
Liu Yaqiang, Ren Zhigang, Jin Zengwang
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IET Control Theory & Applications, 2022 This paper presents an iterative learning control approach to achieve precise tracking control for a class of repeatable parabolic multiple‐input–multiple‐output (MIMO) partial differential equations (PDEs) with time‐varying delays over a finite time ...
Yaqiang Liu +4 more
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Multistage Quality Prediction Using Neural Networks in Discrete Manufacturing Systems
Applied Sciences, 2023 The deployment of a manufacturing execution system (MES) holds promising potential in facilitating the accumulation of a substantial amount of inspection data.
Ruidong Li +4 more
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中国工程科学, 2022 The discrete manufacturing industry in China is currently being transformed and upgraded. Digital transformation and intelligent upgrade is an inevitable choice for China’s discrete manufacturing industry, as intelligent manufacturing can promote the ...
Li Xinyu, Li Zhaofu, Gao Liang
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