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A method for decoupling causal chains of composite faults in discrete event systems

A technique for discrete events and complex faults, applied in the detection of faulty computer hardware, special data processing applications, instruments, etc., can solve problems such as difficult fault diagnosis

Active Publication Date: 2017-04-26
BEIJING JIAOTONG UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the large number of fault information attached to multiple faults that occur in a short period of time and overlap each other, some information even cancels each other, making fault diagnosis very difficult

Method used

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  • A method for decoupling causal chains of composite faults in discrete event systems
  • A method for decoupling causal chains of composite faults in discrete event systems
  • A method for decoupling causal chains of composite faults in discrete event systems

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Embodiment

[0078] like figure 2 The shown monitoring center receives the following information, B1m (52ms), L1Ss (550ms), L2Ss (542ms) act, circuit breakers CB1 (589ms), CB3 (600ms), CB5 (87ms) open.

[0079] First, according to the observation event set {B1m, L1Ss, L2Ss, CB1, CB3, CB5} to determine figure 2 The set of suspicious elements in {B1,L1,L2}. Construct the ETPN model, and set the observed events as the tokens of the corresponding places, such as image 3 shown. Among them, the line segment with a circle at the front end Indicates the suppression arc; the library names the corresponding event based on the device it represents, B1 indicates the fault of bus B1, and the meanings of L1 and L2 are similar; B1m indicates the main protection action of B1, L1Sm, L1Sp, L1Ss, L1Rm, L1Rp, L2Sm, L2Sp, L2Ss , L2Rm, L2Rp, have similar meanings; CB1 means that the circuit breaker CB1 tripped, and CB2, CB3, CB4, and CB5 have similar meanings; the changes all represent the time delays o...

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Abstract

The invention discloses a combined failure causal chain decoupling method of a discrete event system. The combined failure causal chain decoupling method comprises the following steps: performing modeling on the discrete event system by adopting an expansion time Petri net according to an observation event set and a relationship set of failures; obtaining a time-probability Petri net model according to an inversion algorithm of the expansion time Petri net; performing reasoning analysis on the discrete event system by adopting the time-probability Petri net model; and performing decoupling and analysis of a causal china on the reasoning result of the time-probability Petri net model according to a time-probability decoupling algorithm of the causal chain and an analysis algorithm of a pure failure causal chain.

Description

technical field [0001] The invention relates to the technical field of automatic control systems, in particular to a method for decoupling compound fault causal chains of discrete event systems. Background technique [0002] With the development of industrial technology, the scale of various large-scale industrial systems has become larger and larger, and the relationship between internal components has become increasingly complex. When the system fails locally or as a whole, it is often accompanied by two or more failures occurring at the same time. This kind of failure phenomenon is called composite failure. Due to the large number of fault information attached to multiple faults that occur in a short period of time and overlap each other, some information even cancels each other, making fault diagnosis very difficult. On the other hand, the complex relationship within the system makes the causal relationship between the fault source and the various phenomena represented ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/22G06F17/50
Inventor 贾利民秦勇叶阳东佘维季常煦张媛
Owner BEIJING JIAOTONG UNIV
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