Adaptive data driving fault diagnosis method and device in complex refining process

A data-driven, fault-diagnosing technology, applied in instrumentation, electrical testing/monitoring, control/regulation systems, etc., to solve problems such as inability to apply

Active Publication Date: 2015-04-01
CHINA UNIV OF PETROLEUM (BEIJING)
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  • Abstract
  • Description
  • Claims
  • Application Information

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  • Adaptive data driving fault diagnosis method and device in complex refining process
  • Adaptive data driving fault diagnosis method and device in complex refining process
  • Adaptive data driving fault diagnosis method and device in complex refining process

Examples

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Embodiment

[0083] According to the calculation process and calculation steps of Granger causality test, the common refinery process - the initial distillation column in atmospheric and vacuum distillation is taken as the research object, and the device fault diagnosis is carried out by using the simulation data.

[0084] This technical solution uses MATLAB to program the Granger causality test, and takes the failure data of the initial distillation column feed reduction as input.

[0085] In the primary distillation tower, the main process parameters are primary distillation tower feed volume and temperature, primary distillation tower top pressure, primary distillation tower top temperature, primary distillation tower bottom liquid level, primary bottom and primary side flow. According to the knowledge of chemical process, the interaction relationship between various process parameters can be known, such as image 3 Shown is the process parameter relationship diagram of this embodiment....

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Abstract

The invention relates to an adaptive data driving fault diagnosis method and a device in a complex refining process. The method comprises steps that, a relation graph among relevant process parameters causing a fault is established, and the process parameters causing the fault are determined; time sequence of all the process parameters and time sequence of the fault are acquired through the process parameters; whether the time sequence of the process parameters is covariance stationary is determined; if not, first order difference processing on the time sequence of the process parameters is carried out; a regression equation is constructed by utilizing the time sequence of the process parameters and the time sequence of the fault after covariance stationary, and a first residual error quadratic sum and a second residual error quadratic sum are acquired according to the regression equation; F examination is carried out; a largest path of a cause and effect relation magnitude is searched according to the relation graph; the time sequence of the process parameter which corresponds to a start point of the path is the root reason of the fault, and the terminal point of the path corresponds to the time sequence of the fault; and the largest path of the cause and effect relation magnitude is the propagation path of the fault in a system.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to an adaptive data-driven fault diagnosis method and device for complex refining and chemical processes. Background technique [0002] As a typical process industry, the refining process is complex and has a large number and variety of production equipment. Once a fault occurs, its impact will spread to other devices through various channels, affecting the normal operation of other devices. At the same time, production equipment is generally under operating conditions such as high temperature, high pressure or negative pressure. Since its products are flammable, explosive or even toxic substances such as gasoline and diesel, once the operator handles the fault improperly or encounters a natural disaster And other factors, will lead to production stop, and even accidents such as fire and explosion. In order to avoid the occurrence of major accidents, it is very necessary t...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0248
Inventor 胡瑾秋张来斌王安琪
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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