Novel approaches for fault detection in two-dimensional combinational arrays

2002 ◽  
Author(s):  
X.T. Chen ◽  
W.K. Huang ◽  
N. Park ◽  
F.J. Meyer ◽  
F. Lombardi
Keyword(s):  
Fault Detection ◽  
Two Dimensional ◽  
Novel Approaches

scholarly journals Finite-Frequency Fault Detection for Two-Dimensional Roesser Systems

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 5818-5825 ◽  
Author(s):  
Da-Wei Ding ◽  
Xiao-Jian Li ◽  
Yingying Ren ◽  
Fang Qiu
Keyword(s):  
Fault Detection ◽  
Two Dimensional ◽  
Finite Frequency

Fault detection and isolation of two-dimensional (2D) systems

2017 ◽  
Vol 99 ◽  
pp. 25-32 ◽  
Author(s):  
Amir Baniamerian ◽  
Nader Meskin ◽  
Khashayar Khorasani
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
2D Systems ◽  
Two Dimensional

Modeling Two-Dimensional Framework for Multi-Upgradations of a Software with Change Point

2016 ◽  
Vol 23 (06) ◽  
pp. 1640008 ◽  
Author(s):  
Anshul Tickoo ◽  
Ajit K. Verma ◽  
Sunil K. Khatri ◽  
P. K. Kapur
Keyword(s):  
Fault Detection ◽  
Change Point ◽  
Detection Rate ◽  
Real Data ◽  
Testing Time ◽  
Two Dimensional ◽  
Data Set ◽  
Software Companies ◽  
Business Efficiency ◽  
Change Point Models

Across the globe almost every organization is dependent on information technology for increasing their business efficiency. This has led to huge demand for reliable and good quality software. Innovation is most important to attain success in software industry. Software companies need to keep bringing upgradations or add-ons in the software to compete in the market. In the present framework we propose a generalized mathematical modeling for multiple software releases. In this framework we examine the collective effect of testing time and resources using Cobb–Douglas production function for defining the failure phenomenon using a software reliability growth model (SRGM). In this paper, we consider the practical scenario where there is a possibility of change in the fault detection rate. Fault detection rate can be affected by various factors like testing environment, testing strategy and allocation of resources. Change in these factors during testing phase can lead to increase or decrease in failure intensity function. The time point at which abrupt fluctuations in fault detection rate take place is known as change point. In this paper, a generalized framework for developing a two-dimensional SRGM with change point for multiple software releases has been discussed. We have derived various existing change point models using the proposed framework. The developed models have been validated on real data set.

Kalman filter based fault detection for two-dimensional systems

2015 ◽  
Vol 28 ◽  
pp. 83-94 ◽  
Author(s):  
Zhenheng Wang ◽  
Helen Shang
Keyword(s):  
Kalman Filter ◽  
Fault Detection ◽  
Two Dimensional

scholarly journals Fault Detection for Two-Dimensional Roesser Systems With Sensor Faults

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6197-6203 ◽  
Author(s):  
Yingying Ren ◽  
Da-Wei Ding
Keyword(s):  
Fault Detection ◽  
Two Dimensional ◽  
Sensor Faults
Sign in / Sign up

Export Citation Format

Share Document