Method for diagnosing fusion faults of multiple classifiers on basis of fault type classification capacity evaluation matrix

A multi-classifier fusion and fault type technology, which is applied in the direction of instrumentation, computing, character and pattern recognition, etc., can solve problems such as differences in classification capabilities of classifiers that are not considered

Inactive Publication Date: 2015-04-01
QINGDAO TECHNOLOGICAL UNIVERSITY
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This method considers that the classification ability of each classifier is consistent, and

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  • Method for diagnosing fusion faults of multiple classifiers on basis of fault type classification capacity evaluation matrix
  • Method for diagnosing fusion faults of multiple classifiers on basis of fault type classification capacity evaluation matrix
  • Method for diagnosing fusion faults of multiple classifiers on basis of fault type classification capacity evaluation matrix

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Embodiment Construction

[0032] A multi-classifier fusion fault diagnosis method based on fault type classification ability evaluation matrix, comprising the following steps:

[0033] Assuming that there are m types of faults, the composition pattern space D can be recorded as

[0034] D=C 1 ∪C 2 ∪…∪C m

[0035] where C i , become a class and require C 1 ∩C 2 ∩…∩C m = Φ;

[0036] If using J classifiers e j (j=1,2,...,J) classifies a sample x from the pattern space D, the classifier e j The output of can be recorded as

[0037] the y j = e j (x)

[0038] classifier e j The output is in the form of This vector assigns a value to each category label, which is used to measure the degree to which the sample x belongs to this category, that is, the probability of occurrence of this type of failure; here the requirement 0 ≤ y j i ≤ 1 , and Σ i ...

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Abstract

The invention discloses a method for diagnosing fusion faults of multiple classifiers on the basis of a fault type classification capacity evaluation matrix. On the basis of the measurement level output modes of the classifiers, the method for evaluating the classification capacity of the classifiers for multiple fault types on the basis of entropies of output results of the classifiers is provided, the evaluation matrix is obtained through calculation, a multi-classifier fusion basic model based on the fuzzy comprehensive evaluation method is constructed, the strategy-level fusion is conducted, and the final diagnosis is obtained.

Description

technical field [0001] The invention relates to a multi-classifier fusion fault diagnosis method based on a fault type classification ability evaluation matrix. Background technique [0002] Voting method is currently the most convenient and commonly used method in multi-classifier fusion. This method considers that the classification ability of each classifier is consistent, and does not consider the differences in the classification ability of each classifier. However, due to the different algorithms of each classifier, the classification ability is also different, especially when diagnosing multiple fault types, the difference is more obvious, that is, the classifier with excellent overall performance will also have a weaker diagnostic ability for a certain fault type. In the weak case, the classifier with poor overall performance can also show unique advantages when a certain type of fault occurs. Therefore, how to effectively complement the results of multiple classif...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2431
Inventor 文妍谭继文战卫侠战红孙显彬
Owner QINGDAO TECHNOLOGICAL UNIVERSITY
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