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Passenger car fault diagnosis method and device based on neural network and electronic equipment

A neural network and fault diagnosis technology, applied in the field of deep learning, can solve the problems of complex neural network models, fault information diagnosis, etc., to improve diagnostic efficiency, reduce human and material costs, reduce misjudgment of automobile faults and invisible fault diagnosis, etc. hidden effect

Pending Publication Date: 2022-07-12
CHANGSHA CRRC INTELLIGENT CONTROL & NEW ENERGY TECH CO LTD
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Problems solved by technology

[0005] In view of this, the purpose of the exemplary embodiment of the present invention is to propose a neural network-based passenger car fault diagnosis method, device and electronic equipment to solve the problem that the current neural network model is complex and cannot diagnose fault information in all dimensions

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  • Passenger car fault diagnosis method and device based on neural network and electronic equipment
  • Passenger car fault diagnosis method and device based on neural network and electronic equipment
  • Passenger car fault diagnosis method and device based on neural network and electronic equipment

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Embodiment Construction

[0042] In order to make the objectives, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below with reference to the specific embodiments and the accompanying drawings.

[0043] It should be noted that, unless otherwise defined, the technical or scientific terms used in the exemplary embodiments of the present invention shall have the usual meanings understood by those with ordinary skill in the art to which the present disclosure belongs. "First," "second," and similar terms used in the exemplary embodiments of the present invention do not denote any order, quantity, or importance, but are merely used to distinguish the various components. "Comprises" or "comprising" and similar words mean that the elements or things appearing before the word encompass the elements or things recited after the word and their equivalents, but do not exclude other elements or things.

[0044] The invention relates to...

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Abstract

The embodiment of the invention provides a passenger car fault diagnosis method and device based on a neural network and electronic equipment, and the method comprises the steps: obtaining vehicle data transmitted by a vehicle-mounted terminal, analyzing the vehicle data to obtain fault information of the vehicle terminal and non-fault data of a preset number of days before and after a fault information time occurrence point; inputting non-fault data of a preset number of days before and after the fault information time occurrence point into a preset fault diagnosis model to obtain a fault code and a fault reason corresponding to the fault information; and outputting a solution through the preset fault diagnosis model in combination with the fault code and the fault cause. According to the invention, automobile fault misjudgment and hidden fault occurrence probability can be reduced.

Description

technical field [0001] Exemplary embodiments of the present invention relate to the technical field of deep learning, and in particular, to a method, device and electronic device for fault diagnosis of a passenger car based on a neural network. Background technique [0002] The artificial neural network is used to build a model containing two hidden layers for training, and the characteristics of automobile engine faults are diagnosed, and the accuracy is more than 90%. [0003] However, it mainly diagnoses the engine failure of the car. Facing the complex dimensional information of the car, it cannot extract effective fault features and perform accurate fault diagnosis. One of the existing methods uses a deep convolutional neural network to extract the features of the data to be detected, and finally gives the fault number, but the output of the fully connected method increases the complexity of the model; the existing method also obtains the original car through the OBD in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0213Y02T10/40
Inventor 康祖超熊刚王文明谢勇波伍权敬琴
Owner CHANGSHA CRRC INTELLIGENT CONTROL & NEW ENERGY TECH CO LTD
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