A Simple Guide Predictive maintenance is one of the smart ways by which companies keep their machines running. Unlike waiting for equipment failure, predictive maintenance predicts machine failure using data and technology. This will save time and money by answering problems before they deteriorate further.
How Does Predictive Maintenance Work?
Predictive maintenance employs sensors and data analytics. With the use of machines, we can observe the temperature of machines, their vibrations, and all other noises in real-time. Then, we can observe the patterns in the collected data, which indicate that a machine may soon need a repair. Every time an anomaly arises, this system notifies the maintenance teams, enabling them to investigate it before it leads to a breakdown.
Advantages of Predictive Maintenance
Breakdown on account of interruption results in repair
Time-coLifespan: Optimal machine servicing extends the equipment's lifespan. Uipment.
Higher productivity: increasing machine utilization enhances the likelihood of increased uptime. Thus, the production cycles experience fewer stoppages.
Why predictive maintenance?
Predictive maintenance enables companies to improve their efficiency and safety while keeping maintenance costs under control. The transportation and energy sectors primarily apply predictive maintenance. Predictive maintenance is actually the strategic approach to increasing the profitability of companies that want to stay in the marketplace.