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A method for detecting the stationarity of industrial process based on surrogate data method

A technology that replaces data and industrial processes, and is used in electrical testing/monitoring, testing/monitoring control systems, instruments, etc. to achieve high accuracy and robustness, rich data support, and overcoming Gaussian noise disturbance.

Active Publication Date: 2020-03-31
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods still need to be developed in the stationarity detection of high-noise and weakly stationary signals.

Method used

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  • A method for detecting the stationarity of industrial process based on surrogate data method
  • A method for detecting the stationarity of industrial process based on surrogate data method
  • A method for detecting the stationarity of industrial process based on surrogate data method

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Embodiment Construction

[0060] Taking the chemical process performance evaluation of a domestic factory as an example, the following is a detailed description of the stability detection method of the chemical process with the drift fault characteristic of the steam pressure sensor.

[0061] Such as figure 1 As shown, during the production process, the fluidized bed 4 needs to be supplied with inert gas to ensure its safety. This gas fills the equipment before filling, keeps stable during the production process, acts as a purge gas after the collection stage, and passes through the fan function, continuously circulates in the device. The inert gas is heated by the heat exchanger 1, and enters the storage tank 3 under the action of the fan 2. After the storage tank 3 controls the pressure, the inert gas enters the fluidized bed 4, and the fluid medium is sprayed into the fluidized bed 4 from the top atomizing nozzle. The fluidization process continues. The gas source flows out of the fluidized bed 4 ...

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Abstract

The invention discloses an industrial process stationarity detection method based on an alternative data method. The method comprises the following steps of in an industrial process to be detected, collecting the process output signal of a control loop in advance; calculating an autocorrelation function and calculating the similarity degree of a local autocorrelation function and a global autocorrelation function; constructing the alternative data of an original signal and imitating the original signal and calculating a similarity degree; and calculating the non-stationary statistical indexesof the original signal and the alternative data, integrating the indexes to determine the stationarity of the original signal in the framework of hypothesis testing. By using the method, qualitative and quantitative stationarity testing can be performed on the control loop signal of the industrial process, data support is provided for performance assessment and fault diagnosis, and the foundationis laid for subsequent nonlinear oscillating source detection work.

Description

technical field [0001] The invention relates to the field of performance evaluation in industrial control systems, in particular to an industrial process stability detection method based on a substitution data method. Background technique [0002] With the rapid development of performance evaluation technology of industrial control loops, the performance evaluation and fault diagnosis of control loops have attracted much attention in the field of engineering research. In industrial process control loops, the control performance is often degraded. The reasons may be internal component failures, external disturbances, or nonlinear links in the loop. The main performance is that the process variance increases, and even oscillation occurs. [0003] In the process of control performance degradation, the non-stationary phenomenon of the control loop is also common. There are many reasons for the non-stationary characteristics of the control loop, such as load changes and external...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0218
Inventor 谢磊钟丹郎恂吴杭天苏宏业
Owner ZHEJIANG UNIV