USING NEURAL NETWORKS FOR VEHICLE FAULT DIAGNOSTICS

Thе study explores the application of ChatGPT and DeepSeek neural networks in diagnosing automotive faults using the Electude Simulator Challenge environment. The paper analyzes the distinct operational characteristics of each AI model during fault identification. Despite differences in their approaches, both neural networks successfully achieved the diagnostic objective by determining the root cause of the vehicle malfunction.

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Publication Details

Journal
World of transport and technological machines
Published
2025-01-01
DOI
https://doi.org/10.33979/2073-7432-2025-2-3(89)-105-112
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

USING NEURAL NETWORKS FOR VEHICLE FAULT DIAGNOSTICS

Alexander Kalinin, Evgeniy Anatolyevich Veritelnik
World of transport and technological machines
Advanced Data Processing Techniques
article

USING NEURAL NETWORKS FOR VEHICLE FAULT DIAGNOSTICS

Alexander Kalinin, Evgeniy Anatolyevich Veritelnik
article en

Abstract

Thе study explores the application of ChatGPT and DeepSeek neural networks in diagnosing automotive faults using the Electude Simulator Challenge environment. The paper analyzes the distinct operational characteristics of each AI model during fault identification. Despite differences in their approaches, both neural networks successfully achieved the diagnostic objective by determining the root cause of the vehicle malfunction.

World of transport and technological machinesVol. 89(2-3)
Openalex Percentile: Top 76%
Advanced Data Processing Techniques
DOISourceOpenAlex
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USING NEURAL NETWORKS FOR VEHICLE FAULT DIAGNOSTICS — Alexander Kalinin, Evgeniy Anatolyevich Veritelnik · World of transport and technological machines (2025) | TGRS Research Map | TGRS