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Data flow based car fault diagnosis method

A technology for vehicle faults and diagnosis methods, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as lack of knowledge, inability to solve new problems, affecting the accuracy of problem solving, and improve accuracy. , the effect of reducing human dependence

Inactive Publication Date: 2010-10-06
HEFEI UNIV OF TECH
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Problems solved by technology

The experience of experts shows that the amount of knowledge is small and difficult to obtain, while the knowledge of the maintenance manual is fixed. In this way, because the diagnosis method has not been updated for a long time, it becomes static and outdated knowledge, which not only affects the accuracy of problem solving, but also affects the accuracy of the problem. New problems may not be solved at all

Method used

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  • Data flow based car fault diagnosis method
  • Data flow based car fault diagnosis method
  • Data flow based car fault diagnosis method

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Embodiment Construction

[0015] see figure 1 , in this embodiment, first use the data flow algorithm to mine the real-time vehicle failure data, obtain useful information in the vehicle failure data flow, and save the mining results in the temporary vehicle failure case library as the source of the vehicle failure knowledge base ; Then utilize the temporary vehicle failure case base to update the vehicle failure knowledge base, and realize the timely updating of the vehicle failure knowledge base by similarity matching calculation; The knowledge or cases in the case base can be used to obtain the information with the most similar characteristics to the new car fault problem and use it to solve the diagnosis problem.

[0016] In the specific implementation, the improved data stream clustering algorithm is adopted. First, the clustering algorithm is used to calculate m first-level centroids. When the second group of m first-level centroids is calculated, the minimum distance principle clustering algorit...

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Abstract

The invention discloses a data flow based car fault diagnosis method which comprises the steps of: analyzing real-time car fault data deeply by a data flow arithmetic to obtain useful information in a car fault data flow and storing the analyzed results in a temporary car fault case base to be used as the sources of a car fault knowledge base; updating the car fault knowledge base by using the temporary car fault case base and realizing the timely update of the car fault knowledge base by a similarity matching computation; and aiming at the characteristics of a new problem, acquiring information of which the characteristics are most similar to the characteristics of the new car fault problem by searching information or cases in the car fault knowledge base or the temporary car fault case base so as to solve and diagnose the problem.

Description

technical field [0001] The invention relates to a vehicle fault diagnosis method based on data flow. Background technique [0002] With the deepening of research on data mining technology and case reasoning technology, some literatures propose the research and application of combining data mining and case reasoning, and generate knowledge in case reasoning through data mining to solve the bottleneck problem of the knowledge base in the case base. However, this type of research mainly focuses on the mining of static data sets, and the resulting data mining results are fixed and single, which cannot meet the needs of real-time data increase and real-time change of knowledge in practice. [0003] The diagnosis of traditional vehicle faults is generally made by experienced masters through personal experience, or through fault point manuals and maintenance manuals. In fact, many problems are often different from experience and manuals, and specific problems are often different. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F19/00
Inventor 倪志伟倪丽萍李锋刚王超胡汤磊高雅卓戴奇波
Owner HEFEI UNIV OF TECH
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