Enging provides Electric Machines Condition Monitoring, predictive maintenance and on-line, real-time assessments in any industrial process.
These solutions are exclusively based on the acquisition of electrical variables, being totally non-invasive and easy to implement. It will allow, in real time and automatically, the evaluation of the electric machines’ operating conditions.
- Non-invasive technology
- Do not need historical data
- Predictive maintenance systems based on electric variables acquisition
- Real-time and remote systems for continuous evaluation of the electric machines’ status
- Electric Machines monitoring without interruption of its operation and the presence of external collaborators in the installation perimeter
- Early detection of faults in the main components of these electric machines, before it becomes catastrophic or a huge energy loss
- Pinpoint the Fault Location
- Decreases repair costs of the electric machines (preventing the propagation of the fault to other components)
- Better schedule of maintenance operations, in order to coincide with a scheduled stoppage
- Improved equipment longevity due to better operational practices
- Integrable on customer’s SCADA supervision system, or in any other monitoring platform
Transformers are the most critical components in any power generation, transportation, distribution system and industrial installation. A fault in this asset causes the interruption of the service, combined with the high repair cost and a large delivery time of a new unit, when necessary, gives particular attention to the maintenance of transformers, including the ability to detect potential failures at the earliest possible stage, in order to lessen the impact, they have on the normal operation of the power system.
PreditTransf provides adequate tools capable of, non-invasively and in real time, determine the state of the transformer’s operation and detect any abnormality in its electrical circuit, magnetic circuit or mechanical components. This detection is done as early as possible, so that the transformer maintenance actions could be properly scheduled, thus avoiding unplanned shutdowns. On the other hand, the use of these tools prevents a failure initially located in a given component from spreading to the other healthy parts, thereby reducing the transformer’s repairing cost.
This solution is based on an innovative deterministic method completely different from traditional techniques, based on a deterministic mathematical algorithm and using only electrical variables as inputs, with no need of historical data.
Since it is based on the measurement of electric variables, this approach presents several advantages when compared to traditional techniques.
APPLICATIONS
The solution PreditTransf can be applied to any transformer in an industrial installation, power plant or electric grid:
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POWER TRANSFORMER
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DISTRIBUTION TRANSFORMER
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GROUNDING TRANSFORMER
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OPEN-PHASE DETECTION (Nuclear Power Plants)
Electric motors are often referred to as “the workhorse of industry” and they are considered critical in any industrial process. A breakdown causes high financial losses and may cause problems for people and installations safety.
PreditMot uses state-of-the-art diagnostic techniques to perform the detection of the frequently faults and evaluation of the faults severity in this type of equipment. It is an advance solution that allows to perform predictive maintenance actions in electric motors, with the capability to detect failures in system’s components in a very early stage. It is based on a continuous remote monitoring system, permanently accessible from any location with internet access, and which allows users to monitor and intervene in real time. Based on the easily measurable electrical quantities acquisition, this approach can be used in all applications, including those where physical access to the motors is limited (eg. submersible pumps or motors in restricted areas). Under these conditions, typical monitoring techniques based on vibration and temperature analysis cannot be applied.
All the relevant data related to the motor’s operating condition is presented to the user in a web platform, showing the fault degree and power quality parameters of each asset, individually.
This solution is based on an innovative deterministic method completely different from traditional techniques, based on a deterministic mathematical algorithm and using only electrical variables as inputs, with no need of historical data.
Since it is based on the measurement of electric variables, this approach presents several advantages when compared to traditional techniques.
APPLICATIONS
The solution PreditMot can be applied to low and medium voltage three-phase motors, applied to several applications, like:
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Fans
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Pumps
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Paper Machines
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Conveyors
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Compressors
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Mills
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Electric Vehicles
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Chillers
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Elevators
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HVAC
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Motogenerators
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Crushers
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Among other type os applications
PreditGen uses state-of-the-art diagnostic techniques to perform the detection of the frequently faults and evaluation of the faults severity in this type of equipment. It is an advanced solution that allows to perform predictive maintenance actions in low, medium or high voltage three-phase Generators, with the capability to detect failures in system’s components in a very early stage. It is based on a continuous remote monitoring system, permanently accessible from any location with internet access, and which allows users to monitor and intervene in real time. Based on the easily measurable electrical quantities acquisition, this approach can be used in several applications, including those where physical access to the generators is limited. Under these conditions, typical monitoring techniques based on vibration and temperature analysis cannot be applied.
All the relevant data related to the generator’s operating condition is presented to the user in a web platform, showing the fault degree and power quality parameters of each asset, individually.
This solution is based on an innovative deterministic method completely different from traditional techniques, based on a deterministic mathematical algorithm and using only electrical variables as inputs, with no need of historical data.
Since it is based on the measurement of electric variables, this approach presents several advantages when compared to traditional techniques.
APPLICATIONS
The solution PreditGen can be applied to low, medium or high voltage three-phase generators, applied to several applications, like:
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Hydro
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Wind
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Thermal
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Solar
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Biomass
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Gas
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Among other type of applications
The real-time monitoring system for Wind Turbines, PreditWindT has developed for the real-time monitoring of the main components of the power module in wind turbines, namely the generator, power electronics (power converter and soft starter) and distribution transformer, that will allow to the operators to apply preventive maintenance strategies instead of corrective actions, with increased availability and significant operation cost savings.
PreditWindT uses an innovative fault diagnostic algorithm that integrates the most recent advances in the field of electric Asset Performance Management. With additional capabilities to those of a simple vibration analysis, the Enging algorithm makes a powerful electric signature spectral and time analysis for detection of faults and abnormal operating conditions.
The monitoring system uses state-of-the-art diagnostic techniques developed by Enging, to perform the detection of frequent faults and the evaluation of the fault´s severity level in this type of assets. It is an advance solution that allows to perform predictive maintenance actions in the main components of the power module in wind turbines.
The algorithm also combines the most recent scientific innovations in this sector, allowing to discriminate component faults from load oscillation conditions due to wind fluctuation.
APPLICATIONS
The solution PreditWindT can be applied to several wind turbine characteristics:
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Wind Turbine with Squirrel Cage Induction Generators
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Wind Turbine with Wound Rotor Induction Generator
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Wind Turbine with Doubly Fed Induction Generator
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Wind Turbine with Permanent Magnet Synchronous Generator
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Wind Turbine with Electrically Excited Synchronous Generator
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Among others wind turbines
The real-time monitoring system for solar photovoltaic farms, PreditPV has a disruptive technique to monitoring some critical assets, namely Solar Inverters and Distribution Transformers.
Facing the Solar growing market, PreditPV aims to offer PV plants’ owners an extremely accurate predictive maintenance solution using a completely non-invasive approach, thus preventing costly corrective maintenance actions and unexpected stoppages with huge non-production costs.
PreditPV is based on a real-time monitoring system that can be accessible from any location with internet access, allowing the users to view real-time data and act immediately under the presence of an early fault. Since it is just based on the measurement of electrical variables, this approach is much more advantageous when compared to the traditional techniques.
The diagnostic algorithm only requires the voltage of the solar inverter and the current signals from the both transformer’s sides (medium voltage and low voltage). These signals can be easily measured by non-invasive voltage and current transducers, installed in each phase conductor.
All the relevant data related to the solar inverters and transformer’s operating condition is presented to the user, showing the solar inverter and transformer’s fault degree and power quality parameters.
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APPLICATIONS
The solution PreditPV can be applied to monitor assets at Solar Photovoltaic power plants
The real-time monitoring system for battery storage systems, PreditBS has a disruptive technique to monitoring some critical assets, namely Inverters and Distribution Transformers.
Facing the renewables growing market and the need for energy storage, PreditBS aims to offer battery storage’s owners an extremely accurate predictive maintenance solution using a completely non invasive approach, thus preventing costly corrective maintenance actions and unexpected stoppages.
PreditBS is based on a real-time monitoring system that can be accessible from any location with internet access, allowing the users to view real-time data and act immediately under the presence of an early fault. Since it is just based on the measurement of electrical variables, this approach is much more advantageous when compared to the traditional techniques.
The diagnostic algorithm only requires the voltage of the inverter and the current signals from the both transformer’s sides (medium voltage and low voltage). These signals can be easily measured by non-invasive voltage and current transducers, installed in each phase conductor.
All the relevant data related to the inverters and transformer’s operating condition is presented to the user, showing the inverter and transformer’s fault degree and power quality parameters.
APPLICATIONS
The solution PreditBS can be applied to monitor electric assets at battery storage systems.
BUSINESS MODELS
ONLINE MONITORING
SaaS – Solution as a Service
Software and Hardware License Rent
One-Time
Software and Hardware License
MONITORING SERVICES
MaaS – Monitoring as a Service
Monitoring Service 24/7
Health Check-Up Service
Punctual diagnosis service
PORTABLE EQUIPMENT
Online Monitoring Equipment
Monitoring 24/7
Health Check-Up Monitoring Equipment
Punctual Inspection
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