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Data Analysis

Our advanced data analytic models implement the most efficient and accurate predictive maintenance solution that provides failure diagnostics and hybrid prognostics for the equipment with industry-proven reliability and accuracy. Our models enable the user to understand the causality relationship between the input indicators and the behaviour of the asset. Our solution, KASEM®, is equipped with a means to capture the knowledge of the experts in the industry to label the events, refine the models and take better maintenance actions.

Associating the engineering behind the equipment with the data to model its behaviour facilitates us in anticipating failures months in advance without the need to explore large amounts of data.

Diagnostics

Algorithms to identify the equipment that is going to break, monitor the functional conditions of different susbsystems and, assess the health of the equipment.

Causality

Algorithms to perform in-depth analysis to validate the generated alerts, identify the relationship between the indicators and the alerts and, determine the root causes of failures.

Prognostics

Algorithms to estimate the remaining useful life (RUL) of the equipment by assessing the extent to which the equipment can deviate or degrade from its normal operating conditions.

Fleet Analysis

Algorithms to aggregate the learnings from different assets of a fleet to better understand their behaviour and improve the predictive prognostics of the overall installation.

how can we help you?

Contact us to know how Predictive Maintenance can transform your organisation.

Imerys is fully satisfied by the performance of PREDICT and work regarding the implementation of the Kasem software within the Monicalc project, at the Imerys Minerals Site in the UK.

Imerys Minerals Limited

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