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Random discrete event system mode diagnosability judgment method

Pending Publication Date: 2019-07-05
CHANGCHUN UNIV OF SCI & TECH
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Problems solved by technology

The diagnosability of stochastic discrete event systems is divided into A-diagnosability and AA-diagnosability, however these methods are not suitable for diagnosing pattern faults

Method used

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  • Random discrete event system mode diagnosability judgment method
  • Random discrete event system mode diagnosability judgment method
  • Random discrete event system mode diagnosability judgment method

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Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0057] see Figure 1-4 , the present invention provides a technical solution: a method for determining the mode diagnosability of a random discrete event system, including using a method based on model diagnosis to determine the mode diagnosability of a random discrete event system, and through the method based on model diagnosis, through In the modeling method, the stochastic discrete event system is modeled as a stochastic automaton and a corresponding pattern au...

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Abstract

The invention discloses a random discrete event system mode diagnosability judgment method based on the technical field of model diagnosis in artificial intelligence. The method comprises the steps offirstly modeling a to-be-diagnosed system, establishing a corresponding random finite state automaton, needing to establish a mode automaton according to the system characteristics, wherein the modeautomaton is a finite state automaton with a termination state, and defining the PA-diagnosability, constructing a random mode recognizer through synchronous operation, establishing a random mode diagnostor, and judging whether the state of a permanent fault in the random mode diagnostor is fuzzy or not. According to the present invention, by defining the PA-diagnosability in the mode fault diagnosis of the random discrete event system, and judging the PA-diagnosability, the mode fault diagnosis problem of the random discrete event system is solved.

Description

technical field [0001] The invention relates to the technical field of model-based diagnosis in artificial intelligence, in particular to a method for determining the diagnosability of a random discrete event system pattern. Background technique [0002] In real production and life, smart devices are becoming more and more widespread. While these smart devices bring us convenience, we are also facing losses and disasters caused by equipment failures. In order to reduce losses, fault diagnosis has gradually become an important part of artificial intelligence. research branch. In the diagnosis, the smart device is called the system to be diagnosed. From the perspective of the system, the fault diagnosis is mainly divided into the diagnosis of the static system and the diagnosis of the dynamic system. In various fields, most systems are dynamic systems. For large-scale and complex dynamic systems, under a high degree of abstraction, the method of abstracting the system into a ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 耿雪娜胡汉平杨华民韩成蒋振刚李华张婧权巍张超
Owner CHANGCHUN UNIV OF SCI & TECH
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