An efficient predictive maintenance plan assists maintenance engineers to predict the threat of future failures and dictate equipment failure aspects that might probably impact plant, business operations, or asset performance. It uses patterns in the knowledge of the past and matches up with any far-famed problems to assist in predicting failures.
A successful predictive maintenance strategy depends on real-time asset performance measurement and analysis. The discrepancy from the conditions recognized during continuous or routine measurements dispenses the data needed to execute any maintenance required for the asset. It also helps stay away from unplanned equipment downtime or increase lead time to coordinate repairs with scheduled maintenance and thus bring down costs.
Some of the major benefits of predictive maintenance are:Predictive Maintenance depends on the smart usage of asset data and its management. This strategy focuses on “asset health,” executing maintenance and repairs based on the asset’s failure to accomplish maximum performance. Fixing problems before the asset breaks down is more business-like and cost-effective. Predictive maintenance comes with model templates which include the Failure probability prediction, Predicted failure dates, Anomaly detection, Failure contribution breakdown, and Failure probability curve. Predictive maintenance is parts of a maintenance system supported by software capability to handle large amounts of data collected from the connected assets and made digitally available in real-time for operational and maintenance activities.
Do you to want to know more on how Predictive Maintenance can help you optimize plant / asset performance, talk to our asset management experts today!