Method for quickly positioning oscillation signal during complex chemical process

Abstract

The invention discloses a method for quickly positioning an oscillation signal during a complex chemical process. Specific to the characteristics of large scale, strong nonlinearity, strong coupling, and the like of the present complex chemical process, a propagation path of the oscillation signal is searched and a fault source is accurately positioned. The method comprises the following steps: signifying an original signal; obtaining signifying dynamic information of the signal; calculating directed signifying mutual information of each path of signal and obtaining signal transmission direction and coupling strength; and lastly, positioning variables of the fault source from a cause and effect matrix. According to the method, the chemical process is directly utilized to measure the variables and no disturbance is added to a working condition; a fault position during the large-scale chemical process is accurately positioned; the calculation is easy and the implementation is convenient; the method can be easily realized on a host computer of present extensively applied DCS (Data Communication System) or industrial control system; the maintenance cost of the large-scale complex process is reduced; the risk of improving and promoting the control property is reduced; and the benefit is increased.

Description

technical field [0001] The invention relates to the field of fault diagnosis of control systems in process industries such as petroleum and chemical industry, and in particular relates to a method for quickly locating oscillation signals in complex chemical processes. Background technique [0002] Modern manufacturing equipment has the characteristics of large scale, high complexity, many variables, and operates under closed-loop control. Especially for complex chemical processes, there are often thousands of loops, and these loops affect each other, and the nonlinearity is strong. Early and accurate fault detection and diagnosis of these devices can reduce downtime, increase the safety of equipment operation, and reduce manufacturing costs. However, only traditional performance monitoring and fault detection cannot effectively improve equipment performance, and detection without fault location still cannot provide measures that should be taken to restore and improve perfor...

AI Technical Summary

Problems solved by technology

The limitation of this method is that it requires complex probability density function estimation, which will lead to a substantial increase in computational complexity and the calculation accuracy depends on the selection of more parameters. For systems with complex, diverse and unknown dynamic characteristics, practical application have greater difficulties

Another method using cross-correlation analysis to calculate time series delay is relatively simple and practical, but it has poor performance for systems with strong nonlinearity, and only uses operating data. In the absence of external excitation, the accurate time delay of signal transmission is still It is a technical problem that has not been well solved

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