NDLI: Estimation of CAN Bus reliability based on real-time performance

Content Provider	IEEE Xplore Digital Library
Author	Xi Chen Wen Jin Huiqun Zhang Weijie Lv
Copyright Year	2012
Description	Author affiliation: School of Electrical Engineering and Automation, Tianjin University, China (Xi Chen; Wen Jin; Huiqun Zhang; Weijie Lv)
Abstract	With the rapid development of CAN Bus, many scholars and engineers focus on how to evaluate the reliability of CAN Bus. It is widely accepted that the calculation of the probability of successful transmission is an effective method to analyze both the real-time performance and message correctness. However it was proved that the probability of successful transmission is not applicable to calculating the reliability of timely delivery because of the statistical correlation. And hence artificial neural network was induced to simulation to calculate the reliability. The method was based on the analysis of international and national standard and protocol of CAN Bus. The reliability was approximated by the artificial neural network and the simulation was adopted to both calculation of the reliability in short period in harsh electromagnetic interference environment and validation of artificial neural network. The method reduced consumption of both data and time when the simulation was only utilized for the calculation of reliability over long time.
Starting Page	999
Ending Page	1004
File Size	355957
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6358025
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Automation Reliability engineering Real-time systems Educational institutions Probability neural network reliability real-rime performance CAN bus
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A study of the intersection unblocked reliability based on the Artificial Neural Network

The Data Collection and Transmission System of Undulated Biomimetic Propulsor Based on CAN Bus

Design of automotive intelligent node based on CAN bus

Depth estimation from monocular infrared images based on BP neural network model

A Reconfigurable Snake Robot Based on CAN-Bus

Driver design and implementation of CAN BUS in real-time operating system based on ARM Cortex-M3

Evaluation of Classroom Teaching Quality in Universities Based on Artificial Neural Network

Multilayer artificial neural networks for real time power system state estimation

A New Cascade Software Reliability Model

Estimation of CAN Bus reliability based on real-time performance

Similar Documents

A study of the intersection unblocked reliability based on the Artificial Neural Network

The Data Collection and Transmission System of Undulated Biomimetic Propulsor Based on CAN Bus

Design of automotive intelligent node based on CAN bus

Depth estimation from monocular infrared images based on BP neural network model

A Reconfigurable Snake Robot Based on CAN-Bus

Driver design and implementation of CAN BUS in real-time operating system based on ARM Cortex-M3

Evaluation of Classroom Teaching Quality in Universities Based on Artificial Neural Network

Multilayer artificial neural networks for real time power system state estimation

A New Cascade Software Reliability Model

Estimation of CAN Bus reliability based on real-time performance