Remote, Real-time Condition Based Maintenance

Live data allows you to make informed decisions on the maintenance,
re-engineering and capital investment required to run your facilities.



CBM allows preventive and corrective actions to be scheduled at the optimal time by monitoring the condition or performance of equipment through various technologies, and collecting, analysing and identifying real-time data trends to project equipment failure. Action can be taken to prevent or delay failure, ensuring that the reliability of the equipment remains high.

Based on best practice data science techniques and algorithms, our complete software and hardware solution will detect events and anomalies with your asset performance providing the data for our machine learning models to predict asset degradation and failure to help identify, prioritise and deliver your asset investment plans

Various process parameters and material samples, such as:


Changes in pressure can be a key indicator that an asset may be at risk of failure. Sensors compare the pressure continuously against the baseline data to allow early detection of any possible issues.


The monitoring and regulating of temperature is critical to many industries, in for example food safety and pharmaceutical environments. Changes in temperature is also an indicator of an assets performance and condition and are monitored for even the smallest changes.


Some machinery is meant to vibrate, other equipment isn’t supposed to move at all. Either way measuring vibration is essential to monitoring the condition of assets and providing early warning to any risk of failure.


Changes in the acoustics of equipment could indicate an underlying issue, but not all noises are detectable to the human ear. The sensors can detect the slightest change to the acoustics of an asset to provide an early warning to any potential problems.


The sensors measure flow rates to detect anomalies and also use the flow measurement as part of equipment performance monitoring and asset degradation.

Oil Analysis

Tribology readings are utilised as part of other all asset health, on line oil analysis sensors can detect the quality of the lubricants and alert users if the oil requires changing or debris has been detected in the oil.


Using CBM to plan maintenance before failure occurs


Increase efficiency and production of machine component lifespans


Comprehensive Asset Management solution including Real time condition based monitoring covering all parameters


We design Maintenance strategies and PPM Activities based on the operation context of your assets


Maintenance makes up a major part of a facility‚Äôs operating costs, accounting for as much as 40 percent of the budget. But maintenance budgets are often spent inefficiently…

To achieve this, organisations need:

  • Improve equipment and component reliability
  • Optimise equipment performance
  • Greater accuracy in failure prediction
  • An holistic view of equipment condition

With Optima Reliability

you never have to worry about your assets we provide real time insights on performance

Optima Reliability are experts in the field of asset management, with products targeting specific business challenges such as automating manual data collection and analysis.

Our Asset Insight Manager is an integrated real time asset performance system using remote real time condition monitoring to allow users to make informed decisions on the maintenance, re-engineering and capital investment required to run facilities to optimum performance.

The systems unique integration ability through simple installation of wireless condition monitor sensors, seamlessly links data feeds from your assets, and integration into SCADA, BMS and energy management systems provides personalised reporting dashboards.

This removes complex installation processes enabling simple system expansion, ease of programming and end to end asset management.

Take back control of your infrastructure

With Optima Reliability