Predictive Maintenance
Reddy IoT
CHALLENGE: The challenge lies in developing an effective predictive maintenance strategy for industrial equipment to mitigate unexpected downtime, reduce operational costs, and enhance safety by gaining real-time insights into machinery health and performance.
HARDWARE USED:
ā Sensors:
ā Siemens SITRANS F M MAG 5100 W ā (Flow Sensor)
ā SITRANS TS500 (Temperature Sensors)
ā SITRANS P DS III Series (Pressure Sensors)
ā SIEMENS SIMATIC S7-1500 PLC
ā MULTITECH CONDUIT 300
OUTCOMES: The predictive maintenance system model can make predictions upto 5 days in advance which enabled:
Early Maintenance of Boilers
Reduced the downtime by <22%
Improved life of boilers and associated components by 16%
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Posted Apr 15, 2024
Developed predictive maintenance strategy for industrial equipment to prevent downtime, cut costs, and boost safety through real-time insights into machinery h
