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: ❖ Sensors: ➝ Siemens SITRANS F M MAG 5100 W – (Flow Sensor)

➝ SITRANS TS500 (Temperature Sensors)

➝ SITRANS P DS III Series (Pressure Sensors)

❖ SIEMENS SIMATIC S7-1500 PLC

❖ 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%