Title: Motor Maintenance on Cooling Tower Using Predictive Maintenance Method
Authors: Firman Maulana, Sumardi
Volume: 8
Issue: 8
Pages: 80-84
Publication Date: 2024/08/28
Abstract:
Cooling towers play an important role in geothermal power generation systems. The motors in these towers are vital for ensuring proper water circulation and heat rejection. Unexpected motor failures can lead to costly downtime and repairs. Predictive maintenance strategies can help identify potential motor problems before they cause outages, reducing costs and improving system reliability. this paper will discuss various techniques for predictive maintenance of cooling tower motors, including vibration analysis, motor current signature analysis (MCSA), and thermography. The benefits and limitations of each technique will be explored. Additionally, the paper will outline a general framework for implementing a predictive maintenance program for cooling tower motors. by implementing a predictive maintenance program, Cooling tower operators can benefit from reducing downtime and associated costs, increasing system reliability, extending motor life and optimizing maintenance scheduling.