Multi-condition fault detection method for chemical system based on local adaptive standardization

A local self-adaptive and fault detection technology, applied in the fields of chemical process monitoring, industrial data processing and process system engineering, it can solve problems such as failure to complete the fault detection task and no general fault detection method yet.

Active Publication Date: 2021-03-16
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once the chemical process is running under a new working condition, there is no neighbor data in the historical data, and the fault detection task still cannot be completed
So far, there is no universal fault detection method capable of monitoring all operating conditions of chemical processes

Method used

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  • Multi-condition fault detection method for chemical system based on local adaptive standardization
  • Multi-condition fault detection method for chemical system based on local adaptive standardization
  • Multi-condition fault detection method for chemical system based on local adaptive standardization

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Embodiment Construction

[0081] The local self-adaptive standardization-based fault detection method for multi-working conditions in chemical industry systems proposed by the present invention has a block diagram of the overall process as shown in figure 1 shown, including the following steps:

[0082] (1) Obtain the normal operation data set D under N working conditions from the historical database of the chemical industry system history , data set D history There are m rows and n columns of data, where m represents the process variables of the chemical system, such as temperature, time, pressure, etc., and n represents the total running time;

[0083] (2) The normal operation data set D in step (1) history Divide into training set D train and validation set D valid , the training set D train include m lines n train Column data, validation set D valid include m lines n valid column data, where the training set D train D of the historical uptime data set history The ratio is 60%≤a≤90%;

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Abstract

The invention relates to a chemical system multi-working-condition fault detection method based on local adaptive standardization and belongs to the technical field of chemical process monitoring, industrial data processing and process system engineering. According to the method, a local adaptive standardization method is provided, the variational automatic encoder technology of the deep neural network is applied, an average value of the data in the local moving window is calculated to serve as an average value parameter of local adaptive standardization, different average values are used fordifferent data, and the adaptive capacity is achieved. The method is advantaged in that local adaptive standardization processing is utilized, and fault detection is carried out by detecting whether the data in a local moving window deviates or not, and the method can be suitable for any working condition, has higher accuracy and stronger generalization ability, can meet the requirement of real-time detection, and avoids chemical accidents or reduces the harm caused by accidents through early warning of faults.

Description

technical field [0001] The invention relates to a multi-working condition fault detection method of a chemical system based on local self-adaptive standardization, and belongs to the technical fields of chemical process monitoring, industrial data processing and process system engineering. Background technique [0002] Safety production in the petrochemical industry involves all links in the life cycle of chemicals. Due to the large number of chemicals in the production process and the concentration of personnel, once an accident occurs, it will cause serious property losses, casualties and environmental damage. With the continuous advancement and promotion of information technology, the chemical industry has entered the era of big data. Fault detection technology is the basic and key technology in the field of chemical process safety. Its purpose is to distinguish whether the chemical system is in normal operation or in failure by collecting and analyzing real-time data of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065
Inventor 赵劲松吴昊
Owner TSINGHUA UNIV
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