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Melt index detection fault diagnosis system and method for industial polypropylene production

A melt index and fault detection technology, which is applied in the general control system, control/regulation system, comprehensive factory control, etc., can solve problems such as failure to take multi-scale characteristics of the process into account, and difficulty in obtaining fault diagnosis results

Inactive Publication Date: 2007-10-03
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current fault diagnosis only considers the multicollinearity and nonlinear characteristics of the polypropylene production process, but does not consider the multi-scale characteristics of the process, and it is often difficult to obtain better fault diagnosis results.

Method used

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  • Melt index detection fault diagnosis system and method for industial polypropylene production
  • Melt index detection fault diagnosis system and method for industial polypropylene production
  • Melt index detection fault diagnosis system and method for industial polypropylene production

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Experimental program
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Effect test

Embodiment 1

[0091] Refer to Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 and Figure 6, the industrial polypropylene production melt index detection fault diagnosis system, including the field intelligent instrument 2, DCS system and host computer connected to the polypropylene production process object 1 6. The DCS system is composed of a data interface 3, a control station 4, and a database 5. The smart meter 2, the DCS system, and the upper computer 6 are connected in sequence via a field bus, and the upper computer 6 includes:

[0092] The standardization processing module 7 is used to standardize the data. The mean value of each variable is 0, and the variance is 1, to obtain the input matrix X, which is completed by the following process:

[0093] 1) Calculate the mean value: TX ‾ = 1 N Σ i = 1 N T...

Embodiment 2

[0187] Referring to Fig. 1, Fig. 2, Fig. 3 and Fig. 4, a fault diagnosis method for melt index detection in industrial polypropylene production, the fault diagnosis method includes the following steps:

[0188] (1) Determine the key variables used for fault diagnosis, and collect the data of the variables when the system is normal and when the system is faulty from the historical database of the DCS database as the training sample TX;

[0189] (2) In the wavelet decomposition module 8, principal component analysis module 9 and support vector machine classifier module 11, parameters such as the number of wavelet decomposition layers, principal component analysis variance extraction rate, support vector machine kernel parameters and confidence probability are respectively set, Set the sampling period in DCS;

[0190] (3) The training sample TX is standardized in the host computer 6, so that the mean value of each variable is 0, the variance is 1, and the input matrix X is obtained, ...

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Abstract

The present invention relates to an industrial polypropylene production melt index detection fault diagnosis system. Said system includes field intelligent instrument connected with industrial process object, DCS system and upper-position machine. The described DCS system is composed of data interface, control station and data base; the intelligent instrument, DCS system and upper-position machine are successively connected, and the described upper-position machine includes standardization processing module, wavelet decomposition module, pivot analysis function module, wavelet reconstruction function module, support vector machine classifier function module and fault judgement module. Besides, said invention also provides a fault diagnosis method.

Description

(1) Technical field [0001] The present invention relates to the field of industrial process fault diagnosis, and in particular, to a fault diagnosis system and method for detecting the melt index of industrial polypropylene production. (2) Background technology [0002] Polypropylene is a synthetic resin mainly polymerized by propylene monomer, and is an important product in the plastics industry. Among the current polyolefin resins in my country, it has become the third largest plastic after polyethylene and polyvinyl chloride. In the process of polypropylene production, the melt index (MI) is an important indicator reflecting product quality and an important basis for production quality control and brand switching. However, MI can only be detected offline. Generally, offline analysis requires at least 2 hours, which is costly and time-consuming, especially during the 2-hour period of offline analysis, it is impossible to know the status of the polypropylene production process i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/048G05B19/418G05B13/02G06F17/00G01N25/04
CPCY02P90/02
Inventor 刘兴高
Owner ZHEJIANG UNIV
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