A Review for Developing Diagnostics Algorithms of Connected Car

• 영문명: 커넥티드카 상태예측 알고리즘 개발을 위한 기존 연구 고찰
• 발행기관: 한국산업경영시스템학회
• 저자명: HongBae Jun(전홍배)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2018년 춘계학술대회 논문집, 21~21쪽, 전체 1쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2018.05.12

영문 초록

Recently, thanks to emerging ICT (Information and Communication Technology) such as IoT (Internet of Things), wireless telecommunication, and various sensor technologies, the concept of connected car has been highlighted in the automotive industry. In the connected car technology, one application is to diagnose and predict the car status in a real-time way based on gathered data. To this end, it is necessary to develop the diagnostics/prognostics algorithms for a specific part or component in a car. The results of diagnostics and prognostics could provide drivers with useful information used for advanced maintenance policy such as condition-based maintenance. In this study, we have reviewed the relevant previous research works before developing detailed algorithms.

키워드

Connected Car Diagnostics Condition-Based Maintenance Prognostics