Predictive maintenance uses sensors to see, hear, and feel changes in how your machines are performing, and can recommend the optimal time to repair them, thereby maximising equipment uptime and longevity of components.

Why transform your assets?

In settings such as the manufacturing industry, inadequate maintenance of heavy machine assets can be a financial sink, a ticking time bomb or both. Current maintenance techniques are simply no longer enough.

Under our new generation of asset management, the maintenance of your machine assets can go from an obligation to a strategic and fiscal key that unlocks a wide array of potential options in operations. This next step in asset management comes in the form of Predictive Maintenance (PdM).

Benefits of Predictive Maintenance

PdM takes us from subjective, intuition-based decisions made just by people, to the data-driven and objective recommendations made by complex, purpose-built machines. But more specifically, PdM boasts some lofty benefits, both strategically and financially.

Strategic Benefits

  • Up to date and accurate data about asset health
  • Added strategic value to maintenance work
  • Machines last longer: both between repairs and in their overall lifetime
  • Lower rates of unexpected/catastrophic machine failure
  • Objective data enables technicians to make better decisions.

Fiscal Benefits

An evaluation by the US Department of Energy (DoE) shows that they experienced an 8-12% saving in cost compared to preventative maintenance, and 30-40% savings compared to reactive maintenance. Other numbers cited by the DoE include:

  • Return on investment: 10 times
  • Reduction in maintenance costs: 25% to 30%
  • Elimination of breakdowns: 70% to 75%
  • Reduction in downtime: 35% to 45%
  • Increase in production: 20% to 25%

How does Predictive Maintenance compare to alternatives?

Compared to Preventative Maintenance or Reactionary Maintenance, wherein maintenance is either carried out on a schedule (regardless of the component’s condition) or only in the instance of failure, it’s easy to see the surface level benefits of PdM.

PdM is the most advanced form of maintenance, requiring highly specialised and technical implementation of both hardware and software. As a result, is also one of the most efficient. Because of the complex nature of PdM, most companies are yet to benefit from these technologies. This is due to a lack of either awareness or qualified in-house staff to make the transition. We give you access to PdM through our custom-built platform: Fuse

Examples

Below are charts of real-world vibration data collected from 4 bearings on a shaft. Our aim with predictive maintenance is to give you options. Whether you're experiencing unexpected downtime through failures, or spending excessively on maintenance, we want to help you understand the health of your critical equipment.

PdM - example 1
PdM - example 2
PdM - example 3

Partners

GistLens is proud to partner with the following leading technology providers.

Senquip

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