Funding Agency:
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DST
Investigators:
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Dr A. Chawla
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Dr S. Mukherjee
Other Collaborating Agencies:
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CSIO
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BHEL
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IIT Kanpur
Project Objective:
Highlights of the work:
An On-line expert system that works on a
turbogenerator to monitor and detect faults, if any, has been
developed. It is based on the vibration signature analysis concept
using the vibration information as acquired from the
turbogenerator’s various bearing locations.The software uses two
computers. Housed in the first computer (DAS computer) is a Data
Acquisition System (DAS) which acquires the signals from the
transducers mounted on the bearing and shaft locations of the
turbogenerators. The DAS after acquiring the data feeds it to
another computer (Main computer) which houses OLES.OLES, On-line
Expert System deciphers the signals acquired in real time by first
converting them from time domain to frequency domain signal and then
using this frequency spectrum to infer about any possible fault. .
The software also displays trend of important vibration data
continuously for better monitoring.A systematic backup of the
acquired data is maintained in the backup directory. This enables
viewing and analyzing of the data at a later date.Expert
system gives prompt advise regarding the possibility of the most
probable faults so that the operators can plan an appropriate
maintenance schedule well in advance and minimize the down time.
The software has been installed at GGSSTPP and
running successfully since then.The plant maintenance personnel are
using it to monitor the condition of the turbogenerator.
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