Fuzzy relation matrix generating method based on comprehensive correlation matrix

A technology of fuzzy relationship matrix and correlation matrix, applied in the field of product fault diagnosis

Active Publication Date: 2012-10-10
北京恒兴易康科技有限公司
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Problems solved by technology

[0004] Aiming at the problems caused by artificially constructing membership functions in the construction of the fuzzy relation matrix in the prior art, the present invention proposes a fuzzy relation matrix generation method based on the comprehensive correlation matrix based on the comprehensive correlation matrix

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  • Fuzzy relation matrix generating method based on comprehensive correlation matrix
  • Fuzzy relation matrix generating method based on comprehensive correlation matrix
  • Fuzzy relation matrix generating method based on comprehensive correlation matrix

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Embodiment Construction

[0043] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0044] Such as image 3 As shown, it is a model diagram of the signal conditioning circuit of an avionics module. The signal conditioning circuit adopts five-stage amplification, which can amplify and condition weak voltage signals without distortion, and eliminate the interference of high-frequency noise. The circuit includes 7 modules: input filter circuit 1, first-stage amplifier circuit 2, second-stage amplifier circuit 3, third-stage amplifier circuit 4, fourth-stage amplifier circuit 5, fifth-stage amplifier circuit 6 and output filter circuit 7.

[0045] Combine below figure 1 Illustrate the method of the present invention, the generation method of the fuzzy relationship matrix based on comprehensive correlation matrix of the present invention, mainly by setting up the comprehensive correlation matrix of product, predict the detection rate of ...

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Abstract

The invention provides a fuzzy relation matrix generating method based on a comprehensive correlation matrix, which can be used for fuzzy fault diagnosis. The method comprises the following steps of: carding fault modes of a product to acquire upper fault modes and corresponding lower fault modes, acquiring each test according to test configuration, establishing the comprehensive correlation matrix, predicting the fault detection rate of each upper fault mode according to each test, generating a detection rate relation matrix of the upper fault modes and the tests, transforming the detection rate relation matrix to acquire a fuzzy relation matrix, and performing product fault diagnosis by using the fuzzy relation matrix. The fuzzy relation matrix generated by using the method can be applied to fault diagnosis in the product, and solves the problem that the diagnosis accuracy declines because the optional characteristic elements of the artificial subordinate function are unreasonable in the conventional fuzzy relation matrix construction method.

Description

technical field [0001] The invention relates to a method for generating a fuzzy relationship matrix based on a comprehensive correlation matrix, which can be used for product fault diagnosis and belongs to the technical field of product fault diagnosis. Background technique [0002] Information fusion is a data processing process that uses computers to automatically analyze and synthesize information from multiple sensors according to certain criteria to complete the required decision-making and judgment. It is divided into data layer fusion, feature layer fusion and decision-making layer fusion. Introducing information fusion technology into product fault diagnosis can greatly improve the accuracy of diagnosis results. Fuzzy fault diagnosis is an important product fault diagnosis method based on information fusion. [0003] The fuzzy fault diagnosis method is to use the concept of membership function and fuzzy relationship matrix in fuzzy set theory to solve the uncertain ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16
Inventor 石君友林谢贵
Owner 北京恒兴易康科技有限公司
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