Detection method and detection system for dynamics structural mutation

Abstract

The invention provides a detection method and a detection system for system dynamics structural mutation. The system comprises a sliding time window definition module 1, a system state probability density distribution calculation module 2, a Fisher information value calculation module 3 and a mutation detection and observation module 4, wherein the sliding time window definition module 1 is used for defining a sliding time window on an observation data sequence set for describing the condition that the system state is changed along with time; the system state probability density distribution calculation module 2 is used for calculating the probability density distribution Pm (Zl) corresponding to a ZI interval in the sliding time window; the Fisher information value calculation module 3 is used for calculating the Fisher information value FI according to the probability density distribution Pm (Zl); and the mutation detection and observation module 4 is used for drawing a change curve of the FI value along with time, and according to the change curve, judging the system dynamics structural mutation situation. The detection system and the detection method disclosed by the invention have wide adaptability and certain antijamming capability, and do not depend on the length and the amplitude of an analyzed signal.

Description

technical field [0001] The invention relates to the field of physics, in particular to a detection method and a detection system for dynamic structural mutations. Background technique [0002] The evolution and development of many physical phenomena in nature are often nonlinear, non-stationary and complex, because their internal dynamics structure changes suddenly with the change of external forcing. Therefore, it is particularly important to study a suitable dynamic structure mutation detection method to detect and analyze the observation sequence of the system to predict the future evolution trend of the system. Traditional mutation detection methods such as filtering detection, sliding t-test, F detection and Yamamoto signal-to-noise ratio method make the description of physical process less obvious because of the statistical and linearity of the method. Among them, some methods such as sliding t-test and F test often detect some spurious mutation points when detecting ...

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Problems solved by technology

In my previous research work, the method of packing observation data into states was used to calculate the probability density distribution of variables. The case of internal shocks does not apply

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