A fault detection mechanism in a Data-flow scheduled Multithreaded processor

2014 ◽  
Author(s):  
Jian Fu ◽  
Qiang Yang ◽  
Raphael Poss ◽  
Chris R. Jesshope ◽  
Chunyuan Zhang
Keyword(s):  
Fault Detection ◽  
Data Flow ◽  
Detection Mechanism ◽  
Multithreaded Processor

A fault detection mechanism in a Data-flow scheduled Multithreaded processor

2014 ◽  
Author(s):  
Jian Fu ◽  
Qiang Yang ◽  
Raphael Poss ◽  
Chris R. Jesshope ◽  
Chunyuan Zhang
Keyword(s):  
Fault Detection ◽  
Data Flow ◽  
Detection Mechanism ◽  
Multithreaded Processor

Cost-Effective Lock-Stepped EDDI: Transient Fault Detection Mechanism

2012 ◽  
Vol 35 (12) ◽  
pp. 2562
Author(s):  
Chao WANG ◽  
Zhong-Chuan FU ◽  
Hong-Song CHEN ◽  
Gang CUI
Keyword(s):  
Fault Detection ◽  
Cost Effective ◽  
Detection Mechanism ◽  
Transient Fault

Soft Set-Based Switching Faults Decision Making in DTC Induction Motor Drives

2014 ◽  
Vol 24 (02) ◽  
pp. 1550021 ◽  
Author(s):  
Veli Türkmenoğlu ◽  
Mustafa Aktaş ◽  
Serkan Karataş ◽  
Halil İbrahim Okumuş
Keyword(s):  
Decision Making ◽  
Fault Detection ◽  
Induction Motor ◽  
Set Theory ◽  
Wavelet Decomposition ◽  
Motor Drives ◽  
Soft Set ◽  
Fault Detection And Diagnosis ◽  
Induction Motor Drives ◽  
Detection Mechanism

This paper introduces a method for detection and identification of IGBT-based drive open-circuit fault of DTC induction motor drives. The detection mechanism is based on soft set theory and wavelet decomposition, if it is detailed, ⊼-product decision making method and sym2 wavelet decomposition have been used in the detection mechanism. In this method, the stator currents have been used as an input to the system. The stator current has been used for the detection of the fault. The signal analysis has been performed up to the six level details wavelets decomposition. Faulty switch is detected by applying soft set theory to sixth level wavelets transformation. This is the first time applied to inverter in induction motor drives fault detection. The results demonstrate that the proposed fault detection and diagnosis system has very good capabilities.

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.

Fault detection effectiveness of mutation and data flow testing

1995 ◽  
Vol 4 (1) ◽  
pp. 69-83 ◽  
Author(s):  
W. Eric Wong ◽  
Aditya P. Mathur
Keyword(s):  
Fault Detection ◽  
Data Flow ◽  
Data Flow Testing
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