Significant cost savings can be achieved without compromising asset integrity, by using a data-driven, risk-based approach to defining inspection intervals instead of the traditional standardised approach. The Astrimar pRIOriti-AIM software enables the actual asset condition to be efficiently reflected in the estimation of failure probability to form an effective basis for implementing a risk-based approach.
pRIOriti-AIM uses an innovative state-space technique, to make efficient use of all historical condition data available for a specific asset, from inspection, test, and monitoring - both data related to equipment with observed anomalies and equipment items for which no anomalies have been observed. The tool provides a rigorous, yet efficient, statistical approach for estimating the probability of equipment items being in a degraded or failed state, effectively reflecting the actual condition of the asset. Failure consequences and risk acceptance criteria are used to define an acceptable probability of failure and hence determine optimum risk-based intervals for inspection, testing and monitoring activities.
By making the best use of data, the Astrimar approach provides an efficient, objective and quantified basis for reducing non-critical inspection and/or testing, allowing smarter use of resources focussed on the most critical assets and sub-systems. The asset-specific failure estimates can also be used to update asset reliability, availability and risk assessments, including IM and Sparing assessments.
Astrimar can support the implementation of pRIOriti-AIM with system segmentation, failure mode analysis, data sorting, classification and population of asset databases, and more. For example, results from valve signature tests over time can be uploaded to pRIOriti-AIM to determine the future probability of the valve being able to close on demand. Astrimar then makes a comparison between the predicted probability of failure and the maximum allowable failure risk, in order to estimate the maximum time before the next test. The analysis can be interfaced with and use the results generated in the Intelligent Plant Valve Signature Tool, available on the Industrial App Store.
Whilst pRIOriti-AIM is currently available at pRIOriti-AIM.com, Astrimar are in the process of deploying the software tool via the Industrial App Store. Options are also being explored for interfacing pRIOriti-AIM with other apps available on the Industrial App Store. If you are already using the Industrial App Store and are interested in linking to the pRIOriti-AIM future predictive capability, please contact us firstname.lastname@example.org.
Please contact us to arrange an online demonstration of the software or view the demo video on our Youtube Channel.