Research on Fault Diagnosis of Special Equipment Based on CAN Bus Expert System

This paper addresses the issues of complex faults, incomplete detection equipment, and insufficient technical capabilities of maintenance personnel in CAN bus special equipment. By integrating several mainstream fault diagnosis methods, a fault diagnosis device for special equipment is designed based on an expert system. The device mainly acquires data parameters of special equipment and diagnoses the corresponding fault causes and elimination methods through logical judgment of the expert system, effectively improving the efficiency and accuracy of fault diagnosis and elimination. In light of the latest technological developments, corresponding improvement and development directions are proposed.

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Publication Details

Journal
Jisuanji shenghuojia.
Published
2025-04-09
DOI
https://doi.org/10.54097/hsereh73
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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Research on Fault Diagnosis of Special Equipment Based on CAN Bus Expert System

Chongqing Li
Jisuanji shenghuojia.
Advanced Computational Techniques and Applications
article

Research on Fault Diagnosis of Special Equipment Based on CAN Bus Expert System

Chongqing Li
article en

Abstract

This paper addresses the issues of complex faults, incomplete detection equipment, and insufficient technical capabilities of maintenance personnel in CAN bus special equipment. By integrating several mainstream fault diagnosis methods, a fault diagnosis device for special equipment is designed based on an expert system. The device mainly acquires data parameters of special equipment and diagnoses the corresponding fault causes and elimination methods through logical judgment of the expert system, effectively improving the efficiency and accuracy of fault diagnosis and elimination. In light of the latest technological developments, corresponding improvement and development directions are proposed.

Jisuanji shenghuojia.Vol. 13(1)
Changchun Institute of Technology (CN)
Openalex Percentile: Top 97%
Advanced Computational Techniques and Applications
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