Industrial multi-loop oscillation detection method based on multidimensional essential time scale decomposition

Abstract

The invention discloses an industrial multi-loop oscillation detection method based on multidimensional essential time scale decomposition. The method comprises steps that in to-be-detected control loops, process output signals of all the to-be-detected control loops are acquired; the output signals are projected along a series of projection directions to acquire a set of signals; multidimensional signal extreme points are solved, and multidimensional baseline node extraction of the extreme points is carried out; a multidimensional linear transformation formula is utilized to acquire linearity extraction results; the linearity extraction results are integrated to acquire a mean value estimate and decomposition subsignals of the output signals; stop conditions are determined, if the stop conditions are satisfied, decomposition stops; zero crossing point regularity indexes of the decomposition subsignals are calculated, oscillation degrees of the subsignals and whether the industrial process has plant-level oscillation are determined according to the indexes. The method is advantaged in that quantitative detection on multi-loop oscillation behaviors in the industrial process can be carried out, the rule degree and the period of each oscillation component can be further acquired, and abundant data supports are provided for oscillation behavior evaluation and fault source diagnosis.

Description

technical field [0001] The invention relates to the field of performance evaluation in industrial control systems, in particular to an industrial multi-loop oscillation detection method based on multi-dimensional essential time scale decomposition. Background technique [0002] Modern industrial process equipment has the characteristics of large scale, high comprehensiveness, complex operation, many variables, and long-term operation under closed-loop control. The common industrial chemical production process often contains thousands of control loops, and these loops affect each other due to the coupling relationship. Due to the ubiquity of controller over-tuning, external disturbance and non-linear operation of control valves in industrial control loops, the oscillation behavior of control loops often occurs, which greatly affects the economic efficiency and stability of industrial process equipment. [0003] Preliminary and accurate vibration detection of industrial proce...

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Problems solved by technology

However, these methods are all based on univariate data analysis, and when dealing with multidimensional data, there are often phenomena such as mismatched decomposition results or loss of associated information.

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