We have been able to present our Elliot RoT solution at the Wind Europe, an annual event of global impact addressing onshore and offshore wind energy issues, with more than 350 exhibitors from around the world. The event takes place from 5-7 April 2022, in Bilbao, the heart of the global wind industry. It brings together all the world leaders providing the energy of the future.
Two of Elliot RoT's solutions have been selected to be presented at the Wind Europe Congress.
A novel technology has been developed for the early detection of failures in industrial equipment through the use of Artificial Intelligence (AI) techniques under the name of Reliability of Things® (in API and Edge Computing format). By invoking the API, the degradation level of any equipment being monitored on the IoT platform is assessed.
This universal algorithm models the normal behaviour of the equipment (motors, pumps, electrical consumption, etc.) and subsequently calculates the degradation of any component, detecting faults well in advance, also allowing the identification of the root cause and the evaluation of maintenance actions.
The system generates individual alarms for each monitored component, but the objective of the platform is more ambitious, as it generates a global knowledge database for obtaining equipment reliability indicators.
When new equipment is connected to the platform, the type of equipment in question is identified (motor, pump, generator, etc.), the manufacturer, the model, whether it is new, repaired or has been in operation for some time (in order to censor or not the statistical data) before being connected to the platform, and a series of other parameters that serve to carry out a correct characterisation of the population.
Elliot RoT, the Elliot & Reliability of Things® Universal Platform for Predictive Maintenance & Equipment Reliability Characterisation
The IoT platform of Elliot Cloud is the perfect architecture to combine the Reliability of Things® solutions, this is because it allows the integration of PLCs, Edge Computing systems and IoT sensors with Cloud environments, which makes it possible to exploit all the reliability and artificial intelligence techniques for the detection of malfunctions in any industrial equipment.
The platform combines the latest Condition Based Maintenance (CBM) techniques with more classical Reliability Based Maintenance (RCM) techniques. For this purpose, different types of data are used in combination:
- Operational data.
- Work orders.
- The asset history.
When a user registers an asset on the platform, they have a series of asset registration menus where they can register the manufacturer of the asset, the model and the type of asset among other fields. There is also the option to register a series of assets in bulk.
When an asset is registered on the platform, all its operating variables are immediately recorded. If the user subscribes to the RoT service, he has the option of monitoring the condition of each of its components, for which the platform provides two indicators at any given moment:
- Malfunction indicatorwhich analyses whether the equipment behaves in accordance with its previous behaviour in a fault-free period.
- Probability of failure indicatorwhich estimates the probability of equipment failure based on the failure history of similar equipment. This probability is calculated:
- From customer equipment failure histories.
- From historical data of similar equipment recorded in a global and anonymous database of all customers on the platform.