China
Africa
Explore chapters and articles related to this topic
S
Published in Philip A. Laplante, Comprehensive Dictionary of Electrical Engineering, 2018
ematical description of the behavior. For example, application of Kirchoff's voltage law and Ohm's Law leads to the following differential equation description of the above electric circuit input/output behavior: 1 1 d y(t) + y(t) = f (t) dt RC RC system bus in digital systems, the main bus over which information flows. system identification a field of control engineering dealing with the derivation of mathematical models for the dynamics of processes, often by a detailed study of its input and output signals. It includes the design of experiments for enhancing the accuracy of the models. system implementation a phase of software development life cycle during which a software product is integrated into its operational environment. system interaction a stream of energy, material, or information exchanged between the sub-systems of a large-scale system. Relevant attributes of those streams are, respectively, interaction inputs or interaction outputs. Interactions are described by the interaction equations, which relate interaction inputs to a given subsystem to interaction outputs from other subsystems. system noise factor a value, in decibels, representing the ratio of the signal-to-noise ratio (S/N) appearing at the input of a system to that appearing at the output.
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
Published in International Journal of Computer Integrated Manufacturing, 2022
Tariku Sinshaw Tamir, Gang Xiong, Qihang Fang, Yong Yang, Zhen Shen, MengChu Zhou, Jingchao Jiang
In control theory, open-loop and closed-loop control systems are the two popular algorithms implemented in a control engineering application area (Mei et al. 2021). The former uses no feedback to generate control actions. On the other hand, the latter uses feedback as a vital component for controlling a system. The proposed ML classification algorithms in this section take processing parameters as input and predict printed part properties without any correction mechanism to handle printed part abnormalities. Rather, they give knowledge to determine optimal parameters for better part quality. Generally, this process is categorized under an open-loop system since it cannot regenerate new parameters dynamically. This open-loop-like ML system is a human-in-the-loop system since training and testing data are generated by a human operator. The overall structure of the system is shown schematically in Figure 4.