Fault Detection Analysis of Boolean Control Networks

2015 ◽  
Vol 60 (10) ◽  
pp. 2734-2739 ◽  
Author(s):  
Ettore Fornasini ◽  
Maria Elena Valcher
Keyword(s):  
Fault Detection ◽  
Control Networks ◽  
Detection Analysis

Fault detection analysis using data mining techniques for a cluster of smart office buildings

2015 ◽  
Vol 42 (9) ◽  
pp. 4324-4338 ◽  
Author(s):  
Alfonso Capozzoli ◽  
Fiorella Lauro ◽  
Imran Khan
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Office Buildings ◽  
Data Mining Techniques ◽  
Detection Analysis ◽  
Using Data

CIM-based fault detection analysis of distribution system

2011 ◽  
Author(s):  
Lijun Qin ◽  
Cuijuan Hao ◽  
Huawei Jin ◽  
Meng Li ◽  
Ying Wang
Keyword(s):  
Fault Detection ◽  
Distribution System ◽  
Detection Analysis

Fault detection in IP-based process control networks using data mining

2009 ◽  
Author(s):  
Byungchul Park ◽  
Young J. Won ◽  
Hwanjo Yu ◽  
James Won-Ki Hong ◽  
Hong-Sun Noh ◽  
...  
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Process Control ◽  
Control Networks ◽  
Using Data

Broken Rotor Bar Fault Detection Analysis

2011 ◽  
Vol 383-390 ◽  
pp. 1862-1866
Author(s):  
Li Ling Sun ◽  
Kai Bin Chen
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Induction Motor ◽  
New Method ◽  
Broken Rotor Bar ◽  
Detection Analysis

Induction motor is widely applied to people's lives and production. This paper presents the simple and sophisticated of some methods which are used to diagnose the rotor fault. After analyzing the advantage and disadvantage of these methods, this paper tells what the key of rotor fault diagnosis of induction motor is, and put forward a new method.

Fault Detection Analysis in Induction Motors by Injecting Additional Test Signal

2006 ◽  
Author(s):  
J. Rosero ◽  
J. Cusido ◽  
A. Espinosa ◽  
J. Ortega ◽  
L. Romeral
Keyword(s):  
Fault Detection ◽  
Induction Motors ◽  
Test Signal ◽  
Additional Test ◽  
Detection Analysis
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