Glass fiber manufacturing industrial equipment fault sequence determination method and system

A technology of industrial equipment and glass fiber, which is applied in the field of determining the fault sequence of industrial equipment in the glass fiber manufacturing industry and the system, and can solve problems such as inapplicability

Pending Publication Date: 2020-01-10
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is mainly for fault diagnosis of some relatively simple systems, and it cannot be applied to more complex systems.
Traditional diagnostic methods are no longer suitable for modern intelligent and large-scale equipment. There are many multi-criteria group decision-maki...

Method used

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  • Glass fiber manufacturing industrial equipment fault sequence determination method and system
  • Glass fiber manufacturing industrial equipment fault sequence determination method and system
  • Glass fiber manufacturing industrial equipment fault sequence determination method and system

Examples

Experimental program
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Embodiment 1

[0055] See attached figure 1 As shown, this embodiment discloses a method for determining the fault sequence of industrial equipment in the glass fiber manufacturing industry, including:

[0056] (1) Transform the evaluation information of the decision-making experts into the corresponding triangular interval fuzzy number form by using the intelligence set in the language; that is, transform the language description of the fault information of the glass fiber manufacturing industrial equipment given by the decision-making experts into the corresponding triangular interval fuzzy number form form.

[0057] In the data model formula, the data related to the glass manufacturing industry is substituted into the model, so the obtained result is a fault determination method for the fault sequence of industrial equipment in the glass fiber manufacturing industry.

[0058] (2) Using the coefficient of variation method based on similarity to calculate the weight of decision-making expe...

Embodiment 2

[0122] The purpose of this embodiment is to provide a system for determining the fault sequence of industrial equipment in the glass fiber manufacturing industry, which is implemented based on a server, including:

[0123] After obtaining the fault information of industrial equipment, through the decision-making expert group, the fault information is transformed into corresponding linguistic variables, and the linguistic variables are further transformed into triangular interval fuzzy numbers. The triangular interval fuzzy number representing the fault of the industrial equipment in the glass fiber manufacturing industry is brought into the algorithm proposed in this paper, and it is closely combined with the algorithm. According to the fault data of the industrial equipment in the glass fiber manufacturing industry, the model is solved step by step, and then the fault location is calculated. After sorting, the optimal solution is obtained.

[0124] The order of the determined...

Embodiment 3

[0126] A computer device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor implements the following steps when executing the program:

[0127] Obtain fault information of industrial equipment in the fiberglass manufacturing industry;

[0128] Introduce the concept of intelligence set in the language, use relevant language variables to describe the evaluation information of decision-making experts, and express the complex equipment failure information through the corresponding fuzzy numbers;

[0129] Calculate expert weights and criterion weights, express decision information in the form of "triangular interval fuzzy numbers", combine with VIKOR method, use binary connection number to obtain a compromise solution, and select the optimal solution when industrial equipment failure occurs under the action of multiple criteria alternatives for .

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PUM

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Abstract

The invention discloses a glass fiber manufacturing industrial equipment fault sequence determination method and system. The method comprises the steps that fault information of glass fiber manufacturing industrial equipment is acquired; the concept of an intelligent set in a language is introduced, relevant language variables are utilized to describe decision expert assessment information, and the complicated equipment fault information is expressed through corresponding fuzzy numbers; and expert weights and criterion weights are calculated, decision information is expressed in the form of "triangular interval fuzzy numbers", a compromise solution is obtained through binary relationship numbers in combination with a VIKOR method, and an optimal alternative scheme in case of an industrialequipment fault is selected under the action of multiple criteria. The method is applied to industrial equipment fault diagnosis for expressing the fault information, which is difficult to describe, by the adoption of the fuzzy numbers, a clear mathematical model is established, a sequencing mode is adopted to select the optimal alternative scheme, and the problem which cannot be solved through atraditional fault diagnosis method is solved.

Description

technical field [0001] The invention belongs to the field of industrial equipment, in particular to a method and system for determining the fault sequence of industrial equipment in the glass fiber manufacturing industry. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The industrial equipment in the glass fiber manufacturing industry is constantly developing towards intelligence and large-scale. With the increasingly complex and diverse equipment faults, how to quickly and accurately diagnose faults has become a difficult problem; traditional equipment fault diagnosis methods cannot be effectively diagnosed due to limitations. , and complex fault information is difficult to express with numerical values. [0004] Multi-criteria group decision-making refers to inviting multiple decision-making experts to evaluate the optimal plan among m...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41875G05B2219/31337Y02P90/02
Inventor 王新刚王柯
Owner QILU UNIV OF TECH
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