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ELLIOT ROT

Elliot RoT is a powerful maintenance system technology-based predictive IoT and machine learning

An easy solution in Edge and Cloud computing format.

WHAT ROT DOES

The high connectivity system is fed with different types of data: machine operating history, work orders and alarms.

Once an asset is connected to the system, its AI algorithms perform a digital clone and from this model it evaluates the state of health of the equipment being able to detect, diagnose and estimate the remaining useful life of each asset, proposing the necessary inspections.

01
AI module learns behaviour
of any component using
artificial neural networks.
02
  • The simulation module reproduces
    the expected behaviour under the
    new operating conditions.
  • Deviations from the model would detect
    a malfunctionwhich
    would lead to asset failures that are
    analysed by the algorithm.
03

These complex algorithms form the indicator
fault detection system. It is a very useful indicator
stable that no false positives. It is
very expressive and reacts in a very
sudden on detection of a malfunction, which
allows act months in advance,
evaluate maintenance interventions and
diagnose the origin of the ruling.

04

Life estimation modules
remaining and the probability of failure
use the failure history to
characterise the reliability of the equipment
using weibull and censored data.

05

In ROT DATABASE you can autonomously report on
equipment failures. This creates a basis of
increasingly extensive and shared data by
all users of the platform that allows
a better and faster characterisation of the
reliability of any.

ELLIOT ROT

It offers a operational overview in the detection and origin of failures, allowing to take better strategic decisions investment and maintenance

ELLIOT ROT EDGE

Offers a solution '...plug and play'. easy to connect, use and interpret

Elliot ROT EDGE, has created the RoT EDGE device for equipment health monitoring as a hardware as service device that enables fast connection, full integration of data from PLCs, controllers and IoT sensors and a powerful device for running machine learning algorithms.

PLC

Cameras

IoT sensors 

Devices

Device
RoT EDGE

Tablets and
mobiles

IMPACT OF MONITORING STRATEGIES

Predictive maintenance and monitoring system for the condition of equipment

Increased efficiency
operational

Decreased energy loss

Cost reduction
O&M
Increased energy
generated during life
usefulness of the asset
Increasing the life cycle of
the assets
Impact reduction and
costs associated with breakdowns

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SPAIN | MEXICO | BRAZIL | UK

SPAIN | MEXICO | BRAZIL | UK