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Real time vehicle condition monitoring and assessment system
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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Real time vehicle condition monitoring & assessment system


World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Sanjeev Kumar

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

This paper deals with developing an real time vehicle health assessment system for detecting the vehicle condition by monitoring the internal parameters that are used in evaluating the vehicle�s current health condition. Any health related vehicle information plays a critical role in supporting safety, security, mobility, and in improving the reliability of transport. This vehicle information can be a continuous data on performance of the vehicle and the status of its internal components. Measuring dynamic parameters on an in-vehicle is very important to diagnose and analysis the faulty problems and the quality of it. In this paper, an in-vehicle embedded system is being developed to measure the various operating characteristics of an engine in order to develop a real time health assessment system for condition monitoring to generate vehicle health information (VHI) whenever needed by the user. It predicts the future errors so that the driver can have an uninterrupted journey and can avoid accidents. Thus, it alerts the driver about future errors and assists him or her for a safe drive. The data required for generating the real time health report consists of parameter values (outputs of in-built sensors) of different systems inside the vehicle. This data can be obtained using LabVIEW as platform that has automotive diagnostic command set tool kit which helps in building up the software required to communicate with the vehicle�s ECU. To achieve such measurements, it requires a real time data acquisition system (DAS) that should be capable of measuring all important parameters.

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

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