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Discrete event system mode fault online diagnosis method based on Petri network diagnostor

A technology of discrete events and system patterns, applied in complex mathematical operations, design optimization/simulation, etc., can solve problems such as faults that do not apply to complex patterns

Active Publication Date: 2020-05-29
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0006] The object of the present invention is to provide a kind of discrete event system mode fault online diagnosis method based on Petri net diagnostic device, in order to solve the online diagnosis problem that existing method is not suitable for complex mode fault

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  • Discrete event system mode fault online diagnosis method based on Petri network diagnostor
  • Discrete event system mode fault online diagnosis method based on Petri network diagnostor
  • Discrete event system mode fault online diagnosis method based on Petri network diagnostor

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Embodiment Construction

[0052] The application discloses a method for on-line diagnosis of discrete event system pattern faults based on Petri net diagnostics. 0 , X m ), where X is the finite state space of the discrete event system, ∑ is the set of all events that occur in the discrete event system, δ is the transfer function, and x 0 is the initial state of the discrete event system. The event set ∑ can be divided into two disjoint sets ∑ o and ∑ uo , where ∑ o Represents a considerable event set, ∑ uo Represents an unobservable set of events. is the tagged state set. An event string ω is a sequence composed of a finite number of events in the event set Σ, and a mode failure refers to an event string that causes the system to deviate from the normal behavior (that is, a fault occurs), usually expressed by k i express. There are two types of modal faults—S-type modal faults and T-type modal faults, where events in S-type modal faults can occur intermittently, while events in T-type modal f...

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Abstract

The invention discloses a discrete event system mode fault online diagnosis method based on a Petri network diagnostor. The method comprises the following steps: firstly, constructing a fault recognition automaton for each mode fault string according to a given mode fault set to identify a mode fault; secondly, a marking state automaton is constructed according to the discrete event system and allthe fault recognition automatons to mark the faulted state in the discrete event system; converting the mark state automaton into a Petri net, finally constructing a Petri net diagnostor according tothe Petri net obtained by conversion, and carrying out mode fault online diagnosis on the discrete event system by utilizing the diagnostor. The problem that an existing method is not suitable for online diagnosis of complex mode faults is solved, and the method can be used for online diagnosis of S-type mode faults and T-type mode faults and can also be used for online diagnosis of traditional single fault events. The complexity is in linear relation with the state number and the event number of an original system, the complexity of fault diagnosis can be reduced, and the fault diagnosis efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of discrete event system fault diagnosis, in particular to an online diagnostic method for discrete event system mode faults based on a Petri net diagnostic device. Background technique [0002] Discrete Event System (DES for short) is a kind of dynamic system proposed in the 1980s in which discrete events interact according to certain operating rules and lead to state evolution. It can be directly used for the discrete system Modeling can also be used to model the discretized continuous system. At present, discrete event systems have been widely used in computer integrated manufacturing systems, traffic control, computer networks, communication networks, flexible production lines, military command and other fields. Especially the random discrete event system, which adds a probability structure on the basis of the classical discrete event system, can more accurately describe the random characteris...

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Application Information

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IPC IPC(8): G06F17/10G06F30/22
CPCG06F17/10
Inventor 阙蔡雄刘富春赵锐邓秀勤崔洪刚
Owner GUANGDONG UNIV OF TECH
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