基于模糊推理的汽车故障诊断集成化管理系统的设计  

Design of Integrated Fault Management System for Automobile Fault Diagnosis Based on Fuzzy Reasoning

作　　者：徐丽娜 叶桦[1] XU Li-na;YE Hua

机构地区：[1]东南大学自动化学院,江苏南京210096

出　　处：《信息技术与信息化》2017年第10期28-31,共4页Information Technology and Informatization

摘　　要：汽车故障检测的人工智能化是保证汽车行业持续发展的必要条件。本文就实现汽车故障检测和诊断,提出了基于模糊推理的汽车故障诊断集成化管理系统的设计方案。该系统由基于Android和OBD-II的随车故障诊断系统和模糊诊断专家系统两部分组成,提出基于模糊推理、诊断反馈和自学习的专家系统,构建汽车故障诊断的集成化管理系统。将车主和汽车制造商、维修商以及技术中心联系起来,使得汽车故障诊断系统化。Artificial intelligence of automobile fault detection is a necessary condition to ensure the sustainable development of the automobile industry.In this paper,in order to achieve the vehicle fault detection and diagnosis,a design scheme of integrated management system for automobile fault diagnosis based on fuzzy inference is proposed.The system is composed of two parts:Vehicle fault diagnosis based on Android and OBD-II,fuzzy diagnosis expert system.An expert system based on fuzzy reasoning,diagnosis feedback and self-learning is proposed to build an integrated management system for automobile fault diagnosis.The owners and car manufacturers,maintenance providers and technical centers are linked to make the car fault diagnosis systematization.

关 键 词：OBD-II ANDROID 模糊推理 专家系统 集成化 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] U472.9[自动化与计算机技术—控制科学与工程]