Fault Detection and Diagnostics Using Data Mining

2014 ◽  
pp. 823-835 ◽  
Author(s):  
Sun Chung ◽  
Dukki Chung
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Using Data

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

scholarly journals Fault Detection Analysis of Building Energy Consumption Using Data Mining Techniques

2013 ◽  
Vol 42 ◽  
pp. 557-566 ◽  
Author(s):  
Imran Khan ◽  
Alfonso Capozzoli ◽  
Stefano Paolo Corgnati ◽  
Tania Cerquitelli
Keyword(s):  
Data Mining ◽  
Energy Consumption ◽  
Fault Detection ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Data Mining Techniques ◽  
Detection Analysis ◽  
Using Data

Vibration Based Fault Detection of Deep Groove Ball Bearing Using Data Mining Algorithm

2017 ◽  
Author(s):  
Sangram Patil ◽  
Tushar Khairnar ◽  
Vaibhav A. Kalhapure ◽  
Vikas M. Phalle
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Ball Bearing ◽  
Data Mining Algorithm ◽  
Mining Algorithm ◽  
Deep Groove ◽  
Deep Groove Ball Bearing ◽  
Using Data

Fault detection of engine timing belt based on vibration signals using data-mining techniques and a novel data fusion procedure

2016 ◽  
Vol 15 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Meghdad Khazaee ◽  
Ahmad Banakar ◽  
Barat Ghobadian ◽  
Mostafa Mirsalim ◽  
Saeid Minaei ◽  
...  
Keyword(s):  
Data Mining ◽  
Fault Detection ◽  
Data Fusion ◽  
Vibration Signals ◽  
Data Mining Techniques ◽  
Fusion Procedure ◽  
Timing Belt ◽  
Using Data

A Study on Detection of Small Size Malicious Code using Data Mining Method

2019 ◽  
Vol 19 (1) ◽  
pp. 11-17
Author(s):  
Taek-Hyun Lee ◽  
◽  
Ho Kook Kwang
Keyword(s):  
Data Mining ◽  
Malicious Code ◽  
Mining Method ◽  
Data Mining Method ◽  
Using Data

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

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