DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.
Title: Development of an expert system for diagnosis of bearing faults of rotating components in a power plant
Authors: G. Durga Prasad, A. Pradeep Sai Siva, N. Anvesh Kumar
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 17
Language: English
Today era of machines influenced the maintenance engineer to upkeep equipment in good condition apart from this he needs to consider quality, reliability, safety and most essential productivity. This puts the Maintenance department to pick "Condition Monitoring" which is predictive kind of maintenance method for upkeep of a machine, which includes in identifying the initial issues present in machine ahead of time and gives time to fix them. The Vibration based monitoring of machine is highly effective due to its wide application and effective way to detect faults. It is used to evaluate condition of rotating like Boiler Feed Pump Trains, Turbines and Windmills. The present work highlights monitoring of Boiler Feed Pump and Turbine assembly health by analyzing Tri-axial data. Considering the velocity as important parameter, the Tri-axial velocity in different directions are compared to limiting velocity for a particular speed approved from Indian Standard Organization which are based on ISO 2372.Then based on conditions the possible faults can be predicted. Mode shapes for different shafts are generated from ANSYS. In order to reflect the above work an Expert system is developed in Java Jframe using Netbeans IDE. The Expert system which is named as EXSYSTEM is meant to take input as velocities in different directions and predict the possible faults along with remedial measures.
Loading PDF...
Loading Statistics...