Search results
1 sie 2017 · In this study we propose a model of an Expert System to diagnose a car failure and malfunction using Bayesian Approach.
1 mar 2012 · This paper proposes a CBR methodology based Intelligent Car Fault Diagnosis System (CFDS) that integrates decision tree as a machine learning technique and jaccard similarity method to...
16 lip 2021 · This paper concerns the issues of fault diagnosis and monitoring for automobile suspension system where only accelerator sensors in the four corners of the car body are available.
24 sie 2022 · The digital transformation of vehicles enables automakers to better diagnose abnormal conditions and predict the remaining useful life of dismantled components, thereby improving vehicle performance and safety.
The goal is to find out if classification models can be used to predict software downloading statuses, and help locate the part numbers that cause the failures in software downloading process.
This study aims to design an expert system to diagnose car failures using the Forward Chaining and Bayes Network methods. This system is specifically designed to use a knowledge base and solutions to diagnose failure Mercedes Benz cars based on Message Indicator Light (MIL).
The aim of the proposed CFMDAS is to provide quick and precise expert guidance to car fault diagnosis. Additionally, for training purposes, it helps in reducing the knowledge gap between different individuals in car fault diagnosis.
