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Method and system for diagnosing mixed failure based on PCA and artificial immune system

A technology of fault diagnosis and artificial immunization, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as insufficient adaptability and self-learning ability

Active Publication Date: 2011-06-29
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of the existing method's lack of adaptability and self-learning ability, and apply the artificial immune system to the fault diagnosis of the process industry

Method used

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  • Method and system for diagnosing mixed failure based on PCA and artificial immune system
  • Method and system for diagnosing mixed failure based on PCA and artificial immune system
  • Method and system for diagnosing mixed failure based on PCA and artificial immune system

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Embodiment

[0095] The method according to the present invention is applied to the fault diagnosis of a reaction simulation model of hydration of propylene oxide to generate propylene glycol.

[0096] The flow chart of the process is as Figure 4 shown. The reaction is all completed in the stirred tank R-1. During the reaction process, the pressure in the stirred tank is P0, the temperature is T0, and the liquid level is L0. R-1 is followed by two inflows, one is propylene oxide solution, which enters R-1 through pump P-1 and valve V-1, which contains a small amount of magazine methanol. The flow rate of this stream is F1, and the temperature is T1. The concentration of propylene oxide is C1-1, and the concentration of methanol is C1-2. The other branch is reaction water, which enters R-1 through pump P-2 and valve V-2, the flow rate is F2, and the temperature is T2.

[0097] The product enters the T-1 tank through the V-3 valve, the product stream flow rate is F3, the temperature is ...

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Abstract

The invention provides a method and a system for diagnosing mixed failure based on a PCA and an artificial immune system, and the method and the system can be applied in industrial processes as chemical industry, oil refining, biopharmaceutics, and the like. The PCA algorithm is used for detecting failure, the artificial immune system is used for diagnose failure kinds of self and non-self judgments, and self-adaptation and self-study capabilities of the artificial immune system are used, so that the updating of a failure diagnosis system during an online operation process is realized. Antigens and the antibodies of the artificial immune system are represented as a matrix composed of data samples of time series, wherein data to be detected is generated as antigens, all types of historicaldata are generated as different antibodies, the kind of working condition is judged by computing the difference between the antigen and the antibody, so as to realize failure detection and diagnosis.A clone and variation computation is also presented, so as to produce a large amount of different antibodies from the known working condition data during the failure diagnosis process, and the antibodies are automatically updated during the diagnosis, so that the requirements of actual industrial process on adaptability are met.

Description

field of invention [0001] The invention relates to a hybrid fault diagnosis method and system based on PCA and an artificial immune system, which is mainly used in the field of fault diagnosis of process industries such as chemical process, oil refining process, and biopharmaceutical process. Background technique [0002] With the development of science and technology, in modern industrial production, the complexity of industrial equipment systems is increasing day by day. For the modern production process of continuous large quantities, it is very necessary to establish a monitoring system to detect and diagnose the cause of failure in time. As a comprehensive subject, fault diagnosis is a very practical technology intersecting multiple sciences. Effective and timely fault diagnosis can not only ensure the normal operation of production and prevent catastrophic accidents, but also guide factory technicians to repair faulty parts in time, which has a guiding role in producti...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06N3/00
Inventor 赵劲松戴一阳陈丙珍
Owner TSINGHUA UNIV
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