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Method for diagnosing compressor-associated failure based on Bayesian network

A Bayesian network and fault correlation technology, applied in mechanical equipment, machinery/engine, liquid variable capacity machinery, etc., can solve problems such as improper operation of equipment on-site technicians, reduce the number of test samples, realize knowledge, realize cumulative effect

Inactive Publication Date: 2012-05-23
XI AN JIAOTONG UNIV
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Problems solved by technology

In addition, the failure of the equipment may also be related to the improper operation of the field technicians

Method used

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  • Method for diagnosing compressor-associated failure based on Bayesian network
  • Method for diagnosing compressor-associated failure based on Bayesian network
  • Method for diagnosing compressor-associated failure based on Bayesian network

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing, content of the present invention is described in further detail:

[0036] see figure 1 As shown, the Bayesian network is composed of a structure graph G and a conditional probability P, denoted as B=(G, P). Among them, the structural graph G is composed of nodes V and directed arcs A, expressed by G=(V, A), which is a directed and acyclic graph, that is, all directed arcs do not form a closed loop. It is the qualitative part of the Bayesian network, and the conditional probability P is its quantitative part, which is the premise of the quantitative reasoning calculation of the network. Nodes V represent random variables or events, which can be discrete or continuous. Each node in the discrete Bayesian network has a different value, which is called the state of the node. The commonly used one is the binary state (normal and abnormal, or yes or no), and there are more than three states. Directed arc A is used to connect ...

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Abstract

The invention discloses a method for diagnosing a compressor-associated failure based on a Bayesian network. Based on a three-layer Bayesian diagnosis network of working condition operation, failure and symptom, a simple and intuitive graphic mode is used for expatiating the complicated causality and conditional relation between the failure, the reason and the symptom thereof, performing diagnostic reasoning under a finite, incomplete and uncertain information condition and completely describing the probability of the system failure, so qualitative information and quantitative information canbe integrated, the function of fully utilizing multi-source information is realized, and the testing sample size for performing the failure diagnosis is reduced by fully utilizing the priori information and historical information of a specific diagnosis object; and the accuracy and the efficiency for the failure diagnosis can be greatly improved by establishing a proper Bayesian diagnosis networkand determining a rational prior probability.

Description

Technical field: [0001] The invention belongs to the field of mechanical equipment fault diagnosis and the like, and relates to reasoning of uncertainty knowledge and relevant knowledge, in particular to a reasoning and reasoning of mechanical fault diagnosis knowledge based on a three-layer Bayesian diagnosis network of working condition, operation-fault-symptom Express technology. Background technique: [0002] With the increasing size and complexity of modern industrial equipment and systems, the connection between various machinery is getting closer, and the associated failures between equipment often occur. In petrochemical production, the equipment group centered on the large compressor unit is the "heart" of the dynamic equipment. It is composed of the compressor as the main machine and the small and medium-sized pump as the auxiliary machine. To a large extent, it has always been the key object of monitoring and diagnostic technology research. Traditional diagnosti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F04B51/00
Inventor 温广瑞张西宁臧廷朋胡兆勇孙峰
Owner XI AN JIAOTONG UNIV
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