Predictive Maintenance
PMS applications
for Predictive Maintenance is based on Electro-Mechanical condition of the
equipment.
Predictive
maintenance Provided Time to Failure, Total deflection from Idle Running Condition
and the Remaining Useful Life of Equipment in present running scenario.
PMS applications
for Predictive Maintenance is based on Electro-Mechanical condition of the
equipment.
Predictive methods uses software and hardware tools and means with human inspection to monitor equipment, systems, conditions and practice…extracting data on health and other criteria to observe trends or uncharacteristic anomalies…using risk analysis to decide on the level of intervention required to prevent a failure in the most efficient and effective way.
Condition monitoring using diagnostic analysis Tool within R/ Python or other proprietary systems.
Real-time Process data as a precursor to fault analysis.
Using Machine Learning to predict the next fault (neural networks)
Human Experience v/s Data Analyses (cost vs benefit)