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A Quality-Dependent Fault Detection Method Based on Two Variable Blocks

A quality-related, fault-detecting technology that can be used in overall factory control, program control, instrumentation, etc. to solve problems such as rejection

Active Publication Date: 2020-06-16
NINGBO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, if such methods are not implemented properly, information related to the output will be removed at the same time.
However, how to implement quality-related fault detection from the perspective of distinguishing quality-related or irrelevant variables has not received much attention and attention

Method used

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  • A Quality-Dependent Fault Detection Method Based on Two Variable Blocks
  • A Quality-Dependent Fault Detection Method Based on Two Variable Blocks
  • A Quality-Dependent Fault Detection Method Based on Two Variable Blocks

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Embodiment Construction

[0056] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples of implementation.

[0057] Such as figure 1 As shown, the present invention discloses a quality-related fault detection method based on two variable blocks. The specific implementation process of the method of the present invention and its superiority over existing methods will be described below in conjunction with an example of a specific industrial process.

[0058] The application object is from Tennessee-Eastman (TE) chemical process experiment, and the prototype is an actual process flow of Eastman chemical production workshop. Currently, the TE process has been widely used in fault detection research as a standard experimental platform due to its complexity. The whole TE process includes 22 measured variables, 12 manipulated variables, and 19 component measured variables. The collected data are divided into 22 groups, inclu...

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Abstract

The invention discloses a quality-related fault detection method based on two variable blocks. According to the method, a genetic algorithm is combined with a neighbor component analysis algorithm, the input variables are divided into the two variable blocks which are related and not related to quality. Then, a partial least squares (PLS) model between the quality-related variable block and the output is established for carrying out the quality-related fault detection, and the quality non-related variable block is combined with the PLS model input residual error to carry out the quality non-related fault detection. Compared with a traditional moving method, according to the method disclosed by the invention, the quality-related and quality non-related measurement variables are distinguished optimally by combining the genetic algorithm with the NCA. In addition, according to the method disclosed by the invention, the PLS model input residual error of the quality-related variable is combined with the quality non-related measurement variable to carry out the quality non-related fault detection, and all the quality non-related component information is comprehensively utilized. Therefore, the method provided by the invention can give more accurate quality-related fault detection results.

Description

technical field [0001] The invention relates to a data-driven fault detection method, in particular to a quality-related fault detection method based on two variable blocks. Background technique [0002] Maintaining the stability of product quality is an important technical means to ensure the profitability of enterprises, and the implementation of quality-related fault detection has a deeper meaning. In recent years, due to the vigorous promotion of industrial informatization construction, massive process data and quality index data can be collected and stored, which has laid a solid data foundation for data-driven fault detection research. In the existing scientific research literature and patents, most of the fault detection methods are aimed at detecting abnormal operating conditions, and there are relatively few fault detection methods related to product quality. Different from the purpose of simple fault detection, fault detection related to quality needs to distingui...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 童楚东朱莹俞海珍
Owner NINGBO UNIV
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