Why do we need predictive maintenance?

Predictive Maintenance allows for safety compliance, preemptive corrective actions, and increased asset life. By looking ahead, and knowing what failure is likely to occur when, pre-emptive investigations, maintenance schedule adjustments, and repairs can be performed before the asset fails.

Why do we use predictive maintenance?

Minimizing machine downtime and reducing costs are the main goals of predictive maintenance. By maximizing asset uptime and minimizing unexpected errors, machine reliability will improve. By knowing when your assets need maintenance support, you can eliminate the time you might waste on unnecessary maintenance checks.

How can predictive maintenance benefit you?

Predictive maintenance, a corporate philosophy

  1. Reduction in maintenance costs. …
  2. Reduction in machine failures. …
  3. Reduced downtime for repairs. …
  4. Reduced stock of spare parts. …
  5. Increased service life of parts. …
  6. Increased production. …
  7. Improved operator safety. …
  8. Verification of repairs.

How does predictive maintenance improve reliability?

The goal of predictive maintenance is the ability to first predict when equipment failure could occur (based on certain factors), followed by preventing the failure through regularly scheduled and corrective maintenance.

What are the 3 predictive maintenance?

There are three main areas of your organization that factor into predictive maintenance:

  • The real-time monitoring of asset condition and performance.
  • The analysis of work order data.
  • Benchmarking MRO inventory usage.

Which companies use predictive maintenance?

Companies using predictive maintenance in oil and gas

  • Royal Dutch Shell. Shell has been at the forefront of adopting predictive maintenance technologies to enhance equipment reliability and extend the overall operational life of its assets. …
  • ExxonMobil. …
  • BP. …
  • Chevron. …
  • Rosneft. …
  • Equinor. …
  • Repsol. …
  • Total.
IMPORTANT:  How easy or difficult is it to predict the weather?

What are the challenges in predictive maintenance?

Top Obstacles to Overcome when Implementing Predictive…

  • Obstacle 1: Being Unaware of How to Do Predictive Maintenance.
  • Obstacle 2: Lacking Data to Create Proper Predictive Maintenance Systems.
  • Obstacle 3: Lacking Failure Data to Achieve Accuracy.
The world of esotericism