Distributed fault diagnosis method based on centrosymmetric polyhedron

Abstract

The invention relates to a distributed fault diagnosis method based on a centrosymmetric polyhedron, and provides a distributed fault diagnosis method for distributed measurement systems such as grid-connected power generation. Herein, the centrosymmetric polyhedron is adopted to describe disturbance and noise ranges, a distributed fault diagnosis observer is constructed, the range of residual errors is further analyzed, and the fault diagnosis accuracy is improved. Then dynamic threshold value for fault diagnosis is generated, so that the limitation that the threshold value cannot be effectively obtained through an existing distributed fault diagnosis method is broken through, and the accuracy of fault diagnosis is improved. Moreover, aiming at the problem that the distributed fault diagnosis centrosymmetric polyhedron of a distributed measurement system for grid-connected power generation and the like is large in local calculation workload over time, a simplified dimension reductionmethod of the centrosymmetric polyhedron is adopted, so that the calculation amount of a distributed fault diagnosis threshold value is reduced, real-time fault diagnosis in industry is facilitated, and the practical engineering application range is expanded.

Description

technical field [0001] The invention belongs to the field of dynamic system fault diagnosis, relates to a distributed fault diagnosis method in the field of dynamic system fault diagnosis, in particular to a distributed fault diagnosis method based on a centrally symmetrical polyhedron. Background technique [0002] Distributed fault diagnosis is widely used in aircraft network control, automatic driving, grid-connected power generation and other fields, and it has attracted more and more attention. The observer-based fault diagnosis method is an important fault diagnosis method. This method mainly generates redundant states by constructing the observer of the original system, and obtains the residual by making a difference between the estimated value and the actual value. Finally, the residual is calculated. Evaluation, to make a judgment whether the system is faulty. Ideally, the residual is zero when there is no fault, but due to modeling uncertainty, disturbance, measur...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is: in order to overcome the defect that the existing distributed fault diagnosis in the current grid-connected power generation and other distributed measurement systems cannot generate thresholds online, the present invention proposes a distributed fault diagnosis method based on a centrally symmetrical polyhedron, which The method can generate the threshold value for fault diagnosis online in real time, which solves the problem that the threshold value cannot be generated online at present.

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