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A Fault Detection Method Applicable to Chemical Processes with Multiple Sampling Rates

A technology for chemical process and fault detection, applied in program control, comprehensive factory control, electrical program control, etc., can solve problems such as inconsistent measurement sample data

Active Publication Date: 2022-03-18
永州市零陵三湘电化有限责任公司
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Problems solved by technology

Due to the need to consider the inconsistency of measurement sample data caused by multiple sampling rates, the technical difficulty solved by the method of the present invention lies in: how to implement feature extraction of sample data with multiple sampling rates on the basis of fully considering the correlation between measurement variables

Method used

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  • A Fault Detection Method Applicable to Chemical Processes with Multiple Sampling Rates
  • A Fault Detection Method Applicable to Chemical Processes with Multiple Sampling Rates
  • A Fault Detection Method Applicable to Chemical Processes with Multiple Sampling Rates

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Embodiment Construction

[0057] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0058] Such as figure 1 As shown, the present invention discloses a fault detection method suitable for a multi-sampling rate chemical process. The specific implementation of the method of the present invention will be described below in conjunction with a specific application example.

[0059] Such as figure 2 As shown, the application object is a chemical process object from Tennessee-Eastman (TE), USA, and is an actual process flow of the chemical production workshop of the chemical plant. At present, the TE process has been widely used as a standard experimental platform in the research of chemical process status monitoring due to the complexity of the process. The entire TE process includes 22 measured variables, 12 manipulated variables, and 19 product component measured variables. The TE chemical process object involves three diffe...

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Abstract

The invention discloses a fault detection method suitable for multi-sampling rate chemical process, aiming at solving the problem of multi-sampling rate chemical process modeling and online fault detection. Specifically, the present invention considers the problem of inconsistency in the number of measurement samples caused by multi-sampling rates in the chemical process, and the technical difficulty solved by the method of the present invention is: how to implement multi-sampling rate sample data on the basis of fully considering the correlation between measurement variables. feature extraction. For this reason, the present invention invents a brand-new multi-sampling rate modeling algorithm for the multi-sampling rate chemical process. The invention not only solves the data modeling problem of the multi-sampling rate chemical process, but also fully considers the correlation between different sampling frequency measurement variables in the multi-sampling rate modeling algorithm. Finally, through specific implementation cases, the superiority of the present invention in the fault detection of the multi-sampling rate chemical process is verified by comparison.

Description

technical field [0001] The invention relates to a method for monitoring the operating state of a chemical process, in particular to a fault detection method suitable for a multi-sampling rate chemical process. Background technique [0002] Due to the wide application of computer technology and advanced measuring instrument technology in the modern chemical industry process, the temperature, pressure, flow and other data information in the chemical production process can be measured and stored in real time. These massive sample data are the current chemical "big data" Construction provides a solid data foundation. In the past ten years, the use of sampling data to detect faults in the operation of chemical processes has received more and more attention in the field of safe chemical production. Production and maintenance of product quality stability. After more than ten years of development, the data-driven fault detection method suitable for chemical process objects has cha...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 葛英辉蓝艇其他发明人请求不公开姓名
Owner 永州市零陵三湘电化有限责任公司
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