A Fault Diagnosis Method of Compressor Air Valve Based on Bayesian Network

Abstract

The invention relates to a method for diagnosing faults of compressor air valves based on a Bayesian network, which uses a mixed method to learn the Bayesian structure, and applies the Bayesian network model to the fault diagnosis of air valves. The specific method steps are as follows: 1. Obtain the vibration signal sample and preprocess the signal; 2. Extract the fault feature vector and discretize the feature vector; 3. The attribute variables and class variables are used as Bayesian network nodes, using conditional independence Test to find the candidate parent node set of each node; 4. Use the greedy algorithm to determine the parent node of each node in turn, and construct the Bayesian network model; 5. Through the learning of the Bayesian network parameters, calculate the maximum posterior test probability. The present invention effectively limits the number of candidate parent nodes by using the low-order conditional independence (CI) test, avoids unnecessary structural scoring, and verifies that the method works under the condition of information uncertainty through the application example of compressor gas valve fault diagnosis The following is valid.

Description

technical field [0001] The invention relates to a compressor air valve fault diagnosis technology, in particular to a compressor air valve fault diagnosis method based on a Bayesian network. Background technique [0002] Reciprocating compressors are key units in process industry enterprises, especially in oil refining, chemical industry, and gas pipeline industries. The gas valve is one of the important components of the reciprocating compressor. The function of the gas valve is to control the gas suction and discharge in the cylinder. There are many types of air valves, and the common ones are ring valves, mesh valves, and disc valves. The air valve is one of the vulnerable parts of the reciprocating compressor to complete the working cycle. In the long-term production practice, it is found that the air valve failure is the most common failure of the compressor, accounting for more than 60% of the total failures. Valve failure can lead to pressure ratio imbalance, increa...

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Problems solved by technology

②The learning method based on dependency analysis, the process of this method is relatively complicated, and it is difficult to accurately determine the cut set, and a large number of high-dimensional conditional probability calculations will produce errors, which makes it difficult to orient all edges

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