Compressor outlet parameter prediction modeling method based on width learning system

A technology for learning systems and exporting parameters, applied in the fields of electrical digital data processing, computer-aided design, special data processing applications, etc., can solve problems such as reducing system efficiency, increasing costs, and complex parameters
CN110222453APending Publication Date: 2019-09-10CHINA UNIV OF MINING & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF MINING & TECH
Publication Date
2019-09-10

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Abstract

The invention discloses a compressor outlet parameter prediction modeling method based on a width learning system. The method comprises the steps of collecting data and preprocessing the data; constructing an outlet parameter prediction model of the compressor by utilizing a width learning system, setting the number of characteristic node groups of the width learning system as n, the number of k characteristic nodes in each group, the number of enhanced node groups as m and q enhanced nodes in each group, and performing modeling; when a new training data input model exists, using an incremental learning algorithm for carrying out online updating on an original model, an input data matrix of new training data being set as Xa belonging to Ra * M, an output data matrix being set as Ya belonging to Ra * C, a representing the number of newly-added training data, and performing model updating; and verifying the constructed model by using the root-mean-square error. According to the method, the performance prediction model of the large compressor can be quickly established, and the development time and cost of the model can be effectively saved.
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Description

technical field

[0001] The invention belongs to the technical field of industrial process modeling, and in particular relates to a compressor outlet parameter prediction modeling method based on a width learning system. Background technique

[0002] Compressors are widely used in various industrial sectors due to their high operating efficiency and wide application range. They are important equipment in many complex industrial processes, and their safe and stable operation is crucial to the entire system. However, in the actual use process, there are problems such as difficult to accurately predict performance and unsatisfactory actual operation control effect, and consume a lot of energy and money. Therefore, the design and control of the compressor should follow the principles of energy saving and economy. However, an accurate performance prediction model is the basis for compressor design and control. Therefore, it is of great significance to establish an accurate compr...

Claims

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