A quality soft sensing and monitoring method based on optimal nearest neighbor component analysis

A component analysis and soft measurement technology, which is applied in the field of quality soft measurement and monitoring based on optimal neighbor component analysis, and can solve problems such as unfavorable fault monitoring models.

Active Publication Date: 2019-02-26
NINGBO UNIV
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Problems solved by technology

This is very unfavorable for the establishment of soft s

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  • A quality soft sensing and monitoring method based on optimal nearest neighbor component analysis
  • A quality soft sensing and monitoring method based on optimal nearest neighbor component analysis
  • A quality soft sensing and monitoring method based on optimal nearest neighbor component analysis

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[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] Such as figure 1 As shown, the present invention discloses a quality soft measurement and monitoring method based on optimal neighbor component analysis, and the specific implementation of the method is as follows.

[0040] First, the offline modeling phase includes steps (1) to (13) as shown below.

[0041] Step (1): From the historical database of the production process object, find out the data corresponding to the index that can reflect the product quality to form the output matrix Y∈R n×k , the sampled data corresponding to the output Y constitutes the input matrix X∈R n×m .

[0042] Step (2): Calculate the mean μ of each column vector in the output matrix Y 1 , μ 2 ,…, μ k and standard deviation δ 1 ,δ 2 ,…,δ k After that, according to the formula Standardize the row vectors in Y to get the output matrix where the ro...

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Abstract

The invention discloses a quality soft sensing and monitoring method based on optimal nearest neighbor component analysis, aiming at solving how to optimize input characteristic variables related to each quality index from the angle of ensuring global optimization, and establishing corresponding quality index soft sensing and monitoring model based on the input characteristic variables. The methodof the invention considers the problem that each quality index corresponds to different input characteristic variables, and determines the optimal input characteristic variables corresponding to eachquality index according to the objective function value of the nearest neighbor component analysis algorithm by exhausting all possible combination forms of the input variables. The method of the invention utilizes the optimized input variable to establish the soft sensing model for each quality index, and utilizes the estimated value of the soft sensing model to monitor the status of the productquality in real time. The method of the invention can be said to be able to solve the soft sensing and monitoring problems related to the product quality.

Description

technical field [0001] The invention relates to a soft measurement and monitoring method, in particular to a quality soft measurement and monitoring method based on optimal neighbor component analysis. Background technique [0002] In the entire integrated automation system, the system for real-time monitoring of product quality occupies a very important position, and the quality of the product is the main factor considered when the process is running. With the rapid development of science and technology, although measuring instruments such as temperature, pressure, flow, etc. high. Taking the quality index of product concentration as an example, the price of an online analyzer for measuring concentration components is more than ten times that of ordinary instruments for measuring temperature and pressure, and manual maintenance is required in the later stage. If the online analyzer is not used to obtain quality data in real time due to cost reasons, product quality data c...

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Application Information

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IPC IPC(8): G06Q10/06G06F16/2458
CPCG06Q10/0639
Inventor 宋励嘉童楚东俞海珍
Owner NINGBO UNIV
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