How does predictive maintenance work?
Condition monitoring sensors are installed directly on assets and capture performance data. A number of factors can be measured, such as vibration or temperature, depending on the asset. The sensors can detect issues such as pressure leaks, vibration abnormalities, or unusual voltage.
Cloud technology enables condition monitoring sensors to share the data they collect. Paired with the right predictive maintenance software, alarms and work orders can be triggered when asset conditions surpass defined thresholds.
Data modeling, based on known machine behavior and failure modes, is used to spot issues before they escalate to failure.
Which industries use predictive maintenance?
Predictive maintenance is a useful strategy for a wide range of industries. It leverages technologies and tools—from sensors to CMMS software to statistical analysis—to reduce unplanned downtime and wasted resources.
Any organization seeking to extend the lifespan of their assets and optimize their maintenance spending can use predictive maintenance.
eMaint predictive maintenance software serves clients in industries such as:
- Food & beverage
- Healthcare (including pharmaceuticals, medical devices, and more)
- Energy (including oil & gas, wind, and more)
- Warehousing & distribution
- Transportation & fleet
What are the benefits of predictive maintenance?
Predictive maintenance is a cost-effective maintenance strategy with numerous benefits. Among them:
- Avoiding unplanned downtime
- Improving productivity
- Extending asset life and maximizing time between purchases
- Reducing the amount of materials and spare parts needed
- Creating a safer work environment
- Benefiting the bottom line