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A Process Fault Monitoring Method Based on Improved Dynamic Visible Graph

A kind of fault monitoring and dynamic technology, applied in the field of fault identification, which can solve problems such as difficult to completely deal with

Active Publication Date: 2017-02-22
BEIJING UNIV OF CHEM TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Process data usually has the characteristics of high-dimensional, nonlinear, time-varying, multi-modal, autocorrelation, etc., which are difficult to be fully processed by existing data-based process monitoring methods

Method used

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  • A Process Fault Monitoring Method Based on Improved Dynamic Visible Graph
  • A Process Fault Monitoring Method Based on Improved Dynamic Visible Graph
  • A Process Fault Monitoring Method Based on Improved Dynamic Visible Graph

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Embodiment Construction

[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0046] The process failure monitoring method based on MDVG of the present invention, comprises the steps:

[0047] S101. Determine the monitoring variables, normalize the historical data of each variable according to a certain moving pane length, and map it into a complex network using the MDVG algorithm.

[0048] The process of traditional DVG mapping time series data to complex networks is generally as follows:

[0049] Consider any two data in a set of time series data (t i ,x i ) and (t k ,x k ), ij ,x j ), i<j<k, if the NVG visible condition is satisfied

[0050]

[0051] and the limitation of viewing angle α

[0052]

[0053] Then, consider the nodes of...

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Abstract

The invention provides a process fault monitoring method based on an improved dynamic visible graph. With the help of a complicated network theory, the invention provides an improved dynamic visible graph algorithm, on the basis of the algorithm, time serial data is mapped into a complicated network structure, the time serial data with different variables can be distinguished and identified through network characteristics, in addition, whether production data generates a fault or not is judged. The method has the advantages that the fault false alarm rate and the missing report rate be reduced, in addition, the fault occurrence can be earlier monitored, and the real-time monitoring of the complicated industrial process can be more favorably realized.

Description

technical field [0001] The invention relates to the field of fault identification, in particular to a process fault monitoring method based on an improved dynamic visibility graph (MDVG). Background technique [0002] At present, the rapid development of information technology provides great convenience for the acquisition and processing of massive data. Complex network, as an emerging research field, has attracted extensive attention from many disciplines. In recent years, a large number of achievements have been made in extracting relevant information from data generated by complex systems in various fields, and using network knowledge to describe and analyze the attribute status of the system. Among them, mapping time-series data to complex networks and applying rich and advanced complex network analysis methods to analyze complex time-series data is particularly eye-catching. [0003] Different from the relatively traditional distance-based and correlation-based network...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0227
Inventor 耿志强王尊朱群雄韩永明徐圆
Owner BEIJING UNIV OF CHEM TECH
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