*Result*: An Intelligent Software Agent Machine Condition Monitoring System Using GPRS and Data Mining

Title:
An Intelligent Software Agent Machine Condition Monitoring System Using GPRS and Data Mining
Authors:
Contributors:
The Pennsylvania State University CiteSeerX Archives
Collection:
CiteSeerX
Document Type:
*Academic Journal* text
File Description:
application/pdf
Language:
English
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.FDBF5C43
Database:
BASE

*Further Information*

*There is a tremendous development in machine condition monitoring, since the cost of machine is very high, it is a tedious process to maintain the mechanical machine in good working condition and the delay in production would provide a drastic situation for the manufacturer. In this study a new condition monitoring tool is designed in such a way that it takes full control over the machine using Artificial Intelligence and GPRS. In present context the study is focused to the bearings in a mechanical machine, since the major faults are mainly due to the bearings in the machine. An Intelligent fault monitoring software is build using JADE framework and the fault diagnosis report is maintained by GPRS connectivity. Once these treacherous faults arise the machine will be stopped and the message will be sent to the end user.*