Redundancy Technology of CAN-Bus Network

2011 ◽  
Vol 268-270 ◽  
pp. 1977-1981
Author(s):  
Chuan Qiang Yu ◽  
Xiao Song Guo ◽  
Yu Wang ◽  
Zhen Ye Wang ◽  
De Sheng Wang
Keyword(s):  
Fault Detection ◽  
Data Transmission ◽  
Communication Protocol ◽  
Can Bus ◽  
High Reliability ◽  
Task Conflict ◽  
Redundant System ◽  
Network Efficiency ◽  
Development Status ◽  
Network Fault

This article classified the CAN bus in accordance with the bus number, and detailedly studied the development status and problems both in single bus redundant system and dual-bus redundant system, moreover analyzed three main issues exist in redundant technique applications with high reliability which are the rapidity and accuracy of network fault detection, and how to improve network efficiency in data transmission and reduce the probability of task conflict, as well as flexible and efficient in design of communication protocol. Finally, the foreground applications of CAN bus in high-reliability field like Aero-Space is summarized.

The Fault Detection Method of CAN Bus Based on Network Resistance Model

2011 ◽  
Vol 58-60 ◽  
pp. 1948-1952
Author(s):  
Chuan Qiang Yu ◽  
Zhen Dong Qi ◽  
Zhen Ye Wang ◽  
Yu Wang
Keyword(s):  
Fault Detection ◽  
Error Detection ◽  
Data Exchange ◽  
Detection Method ◽  
Can Bus ◽  
High Reliability ◽  
Detection Mechanism ◽  
Network Bandwidth ◽  
Resistance Model ◽  
Bus Network

In the error detection mechanism of CAN bus, when the failed node or line is not in the data exchange path, you will not detect the fault, in order to solve this problem, a method is proposed which is realized by adding an external hardware detection circuit in the CAN-bus network, the fault will be detected through testing the resistance of the CAN bus network. In this paper, the network resistance model of CAN bus is established, and the principle of network resistance fault detection method is analyzed. We have carried out several experiments by the network with three nodes to test the validity of this method. As the results of our experiments, we concluded that the method can real-time and comprehensively detect the fault of network and do not take up the network bandwidth, so this method can effectively resolve the problems of current detection mechanism and have good application prospect in some high reliability requirements occasions.

Multi-Thread Chain DMA Data Transfer Method for SuperSpeed Bus Video Transmissions

2014 ◽  
Vol 1046 ◽  
pp. 277-280 ◽  
Author(s):  
Ping Ping Lian
Keyword(s):  
Data Transmission ◽  
High Speed ◽  
Video Transmission ◽  
Data Transfer ◽  
Communication Protocol ◽  
High Reliability ◽  
Data Rate ◽  
Video Data ◽  
Usb Bus ◽  
Transfer Method

SuperSpeed bus, also known as USB3.0 bus or SuperSpeed USB bus, is the newest USB bus technology. This paper presents an innovative DMA transfer method called Multi-thread Chain DMA for SuperSpeed bus video data transmissions. The maximum 5Gbps giant data rate of SuperSpeed bus demands a high speed and high reliability DMA method. However, traditional DMA method can not achieve this required data rate due to its separate data transmission and reception. Unlike traditional DMA method, utilizing a novel designed mechanism, Multi-thread Chain DMA transfer method transmits and receives data concurrently, achieves SuperSpeed data rate and guarantees no data loss. Furthermore, one communication protocol for SuperSpeed video transmission is designed and implemented to comply with USB Video Class (UVC) standard. The field trial has demonstrated Multi-thread Chain DMA transfer method and SuperSpeed video communication protocol in the article are feasible and rich in value of research.

Application of SAE J1939 Protocol in Armored Vehicle Fault Diagnosis

2012 ◽  
Vol 580 ◽  
pp. 151-154
Author(s):  
Yong Cheng Xie ◽  
Fang Jun He ◽  
Guang Sheng Li ◽  
Ning Wei
Keyword(s):  
Fault Diagnosis ◽  
Data Transmission ◽  
Communication Protocol ◽  
Can Bus ◽  
Electronic System ◽  
Network Communication ◽  
Electronic Control ◽  
Transmission Unit ◽  
Data Definition ◽  
Armored Vehicle

The SAE J1939 is a typical CAN bus network communication protocol of integrated electronic system of armored vehicles, which adopts the PDU as a data transmission unit. The agreement can quickly parse out the meaning of the received data to according to data definition; The fault code is used to transfer fault diagnosis information while the SAE J1939 is employed, from which equipment faults can be easily obtained. In this paper, the protocol is described and applied to fault diagnosis application of the engine electronic control box in the armored vehicle. The results proved the protocol is reliable and effective.

Design of Intellectualized Monitoring Module Based on CAN Fieldbus for Air Pipeline of Marine

2013 ◽  
Vol 860-863 ◽  
pp. 2842-2845
Author(s):  
Liang Zhong Cui ◽  
Fu Liang Guo ◽  
Chao Qun Ang ◽  
Gang Zhou
Keyword(s):  
Power Supply ◽  
Data Transmission ◽  
Communication Protocol ◽  
Can Bus ◽  
Signal Conditioning ◽  
Intelligent Diagnosis ◽  
Transmission Reliability ◽  
Monitoring Module ◽  
Data Transmission Reliability ◽  
Is Design

An intelligent module is design for monitoring air pipeline pressure on ship. The project is proposed adopting DSP as control core and employing redundant CAN bus to ensure the data transmission reliability. The key solution such as power supply, signal conditioning and communication are introduced in detail. The intelligent diagnosis and communication protocol are also discussed in the end.

Research on FlexRay Bus Software Testing Technology Based on Data Acquisition and Analysis

2013 ◽  
Vol 321-324 ◽  
pp. 2807-2811
Author(s):  
Zhong Wei Chen ◽  
Xiao Xia Li ◽  
Song Yang Du ◽  
Liang Xiang
Keyword(s):  
Data Acquisition ◽  
Software Testing ◽  
Network Topology ◽  
Data Transmission ◽  
Interface Design ◽  
High Speed ◽  
Communication Protocol ◽  
High Reliability ◽  
Testing Technology ◽  
Analysis System

This paper mainly introduces FlexRay, a high speed, real-time and high reliability bus technology, and researches network topology structure and network communication protocol of FlexRay bus. Then this paper points out that the premise of analyzing FlexRay protocol is catching the bus data transmission, and designs a data acquisition and analysis system with FreeMASTER software and Tektronix TDS3012B digital phosphor oscilloscope. In order to verify the accuracy of the software FlexRay interface design, this paper also describes the analysis and verification procedure of the timing sequence of FlexRay bus. Lastly, this paper reminds of the application prospect of this system.

Embedded dual-computer redundant system design with-high reliability and heterogeneous structure

2009 ◽  
Vol 29 (8) ◽  
pp. 2143-2145
Author(s):  
Meng-hua MAN ◽  
Liang YUAN ◽  
Guo-liang DING ◽  
Zheng-quan JU ◽  
Liang SONG
Keyword(s):  
System Design ◽  
High Reliability ◽  
Heterogeneous Structure ◽  
Redundant System

PNN and BP Neural Network Fault Diagnosis Research on Electronic Accelerator Pedal Detection

2020 ◽  
Vol 14 (2) ◽  
pp. 205-220
Author(s):  
Yuxiu Jiang ◽  
Xiaohuan Zhao
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Lower Limit ◽  
Bp Neural Network ◽  
Accelerator Pedal ◽  
Electronic Throttle ◽  
Measured Voltage ◽  
Upper Limit ◽  
Network Fault

Background: The working state of electronic accelerator pedal directly affects the safety of vehicles and drivers. Effective fault detection and judgment for the working state of the accelerator pedal can prevent accidents. Methods: Aiming at different working conditions of electronic accelerator pedal, this paper used PNN and BP diagnosis model to detect the state of electronic accelerator pedal according to the principle and characteristics of PNN and BP neural network. The fault diagnosis test experiment of electronic accelerator pedal was carried out to get the data acquisition. Results: After the patents for electronic accelerator pedals are queried and used, the first measured voltage, the upper limit of first voltage, the first voltage lower limit, the second measured voltage, the upper limit of second voltage and the second voltage lower limit are tested to build up the data samples. Then the PNN and BP fault diagnosis models of electronic accelerator pedal are established. Six fault samples are defined through the design of electronic accelerator pedal fault classifier and the fault diagnosis processes are executed to test. Conclusion: The fault diagnosis results were analyzed and the comparisons between the PNN and the BP research results show that BP neural network is an effective method for fault detection of electronic throttle pedal, which is obviously superior to PNN neural network based on the experiment data.

scholarly journals A Data-Based Fault-Detection Model for Wireless Sensor Networks

2019 ◽  
Vol 11 (21) ◽  
pp. 6171 ◽  
Author(s):  
Jangsik Bae ◽  
Meonghun Lee ◽  
Changsun Shin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Detection ◽  
Data Transmission ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensors And Actuators ◽  
Detection Model ◽  
Management Platform

With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. These networks collect environmental information, such as temperature, humidity, and CO2 rates. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. Accordingly, a data-based fault-detection algorithm was implemented in this study to analyze data of sensor nodes and determine faults, to prevent the corresponding nodes from transmitting data; thus, minimizing damage to the network. A cloud-based “farm as a service” optimized for smart farms was implemented as an example, and resource management of sensors and actuators was provided using the oneM2M common platform. The effectiveness of the proposed fault-detection model was verified on an integrated management platform based on the Internet of Things by collecting and analyzing data. The results confirm that when a faulty sensor node is not separated from the network, unnecessary data transmission of other sensor nodes occurs due to continuous abnormal data transmission; thus, increasing energy consumption and reducing the network lifetime.

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