An engineering machinery failure mode analysis system and method based on data fusion

Abstract

The invention discloses an engineering machinery failure mode analysis method based on data fusion, and the method comprises the steps: carrying out the collection and correlation of product failure data and part failure data, and storing a new combination relation into a failure mode library; On the basis of the fused failure mode, carrying out failure case self-similarity matching through case reasoning, and automatically storing cases with the similarity being 50% or below in a case library; adopting Analysis methods of mathematical statistics, correlation, relevance and the like to count afailure mode distribution rule, and analyzing failure reasons. A key part general failure mode information model is designed, and an engineering machinery failure mode analysis system is developed. According to the method, the problems of high dispersity, low indexing efficiency, difficulty in knowledge solidification, difficulty in failure rule mining and the like of a large amount of failure data and remanufacturing data are effectively solved; Standardized management and information sharing of a part failure mode can be realized. Unified management of failure modes of different engineeringmachinery parts can be achieved, the information integration capability is high, and the application range is wide.

Description

technical field [0001] The invention relates to the field of mechanical product remanufacturing, in particular to a data fusion-based engineering machinery failure mode analysis system and method. Background technique [0002] Construction machinery has a large volume and high added value, and still has a large residual value after being scrapped. Remanufacturing of construction machinery can reduce costs, save energy and resources, and reduce environmental pollution. It is an important way to promote the development of circular economy and realize green manufacturing. However, the failure mechanism of construction machinery products is complex, especially affected by factors such as service environment, working conditions, and operational rationality, which cause "multiple symptoms" of construction machinery product systems, and its failure and failure modes show diversity and uncertainty. , it is difficult to carry out statistics and analysis on it. How to effectively use...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the existing technology, this patent proposes a construction machinery failure mode analysis system and method based on data fusion. The failure mode acquisition module obtains product failure data and remanufacturing process data, and then performs fusion processing on the collected failure modes. , and complement and improve the failure mode database data, and then create failure cases on the basis of failure mode fusion, statistically analyze the failure impact law, and effectively solve the large dispersion of a large number of failure data and remanufacturing data, low indexing efficiency, difficulty in knowledge solidification, and failure Difficult to mine rules and other problems, realize the standardization and information management of parts remanufacturing data and failure data

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