SenseGrow - Model 4.0 - AI and IoT Empowered Predictive Maintenance Software
Today’s maintenance, reliability and digitization teams are leveraging AI and IoT driven Predictive Maintenance to bring digital transformation to their maintenance practice.
What is predictive maintenance?
Predictive maintenance (PdM) is maintenance that measures the performance and condition of equipment of in-service equipment during normal operation to identify any faults developing. It provides cost savings and better reliability over routine or time-based preventive maintenance.
Where should i use it?
For assets whose failures modes increases with time or use and can be prevented with regular maintenance e.g. valves
For assets whose failures modes increases with the condition of operation and can be prevented with monitoring/measurements e.g. rotating and reciprocating
Reliability Centered Maintenance (RCM)
For assets whose failures modes are identifiable and controllable e.g. aircraft engines , large turbines.
- Vibration analysis
- Acoustic or ultrasound analysis
- Electrical signature analysi
- Infrared thermography
- Laser alignment
- Dissolved gas analysis
The goal of predictive maintenance is to measure equipment condition and then predict its failure, followed by a root cause analysis and then preventing the failure through corrective maintenance.