Equipment performance-oriented electrical equipment automatic design system based on machine learning

A machine learning and automatic design technology, applied in neural learning methods, design optimization/simulation, instruments, etc., can solve the problems of difficult to reduce data tolerance and difficult convergence of prediction results, so as to reduce the cost of trial and error, save computing time, The effect of high prediction accuracy

Pending Publication Date: 2022-05-06
HEBEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention aims to propose an automatic design method of electrical equipment based on machine learning and guided by equipment performance, to solve the problem that the existing automatic design system design is difficult to reduce in the process of advancing from performance to parameters, and the prediction The problem that the result is not easy to converge

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  • Equipment performance-oriented electrical equipment automatic design system based on machine learning

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Embodiment Construction

[0042] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0043] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be understood ...

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Abstract

The invention provides a machine learning-based equipment performance-oriented electrical equipment automatic design system, which comprises the following steps of: constructing a reasonable mathematical model for electrical equipment expected to be designed, taking extracted and abstract data in a design instance as a training sample, learning a large amount of data of different types and function design instances, and calculating the design parameters of the electrical equipment. A forward prediction model and a reverse prediction model are trained, then the forward prediction model is used for correcting the reverse prediction model, and finally the automatic design system with the capacity of designing the electrical equipment is obtained. According to the equipment performance-oriented electrical equipment automatic design system based on machine learning, a distributed parallel information processing model is established on the basis of a neural network, and the equipment performance-oriented electrical equipment automatic design system for predicting, correcting and re-predicting required electrical equipment design parameters is provided. The electrical equipment design parameters are predicted through the neural network, and the trial and error cost in the design process is reduced.

Description

technical field [0001] The invention belongs to the field of electrical equipment, and in particular relates to an automatic design method of electrical equipment based on machine learning and guided by equipment performance. Background technique [0002] With the development of social economy and the continuous improvement of people's living standards, the market demand for electrical equipment with customized parameters continues to increase. In the process of traditional electrical equipment design, the design process, including the quality, heavily depends on the professionalism and design experience of the practitioners. Design experience needs to be continuously accumulated and updated. Cultivating a qualified designer often requires high time and economic costs. [0003] Electrical equipment, mechanical equipment and other equipment industries, as key areas of the manufacturing industry, have begun to introduce big data and machine learning technology to assist equi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/08
CPCG06N3/08G06F30/27G06F18/214
Inventor 金亮张陈源杨庆新刘素贞张闯
Owner HEBEI UNIV OF TECH
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