ENGING’s health assessment and monitoring solutions apply the latest in electrical signature analysis techniques
ENGING provides electric machines condition monitoring, predictive maintenance and online, real-time assessments in any industrial process.
Predictive maintenance solution based on the acquisition of current and voltage data
Early detection of faults in main components, with a non-invasive technology. No historical information or learning period is required, and can be fully integrated into the client’s own IT system.
Early Fault Detection
Even before symptoms like abnormal vibration, temperature or oil analysis.
O&M Cost Reduction
Maintenance actions will be more efficient and less expensive.
Fault Detection Accuracy
Enabling efficient maintenance actions and cost reduction.
Increased Efficiency
Real-time monitoring that helps organisations become more efficient, avoid redundancy and extend the equipment lifetime.
Unplanned Downtime Reduction
Fault detection and location allows the maintenance scheduling to an optimally planned window.
Scalability
Easy to install, simple to use and ideal to implement at inaccessible, hazardous and hard to reach applications.
We offer flexible ways to work together with our comprehensive and very affordable rental solutions
Non-invasive sensors capture electric variables (voltage and current signals) from a variety of mission-critical electrical assets
Rotating Machines
Transformers
Power Converters
Power Solar PV Farms
Wind Turbines
Battery Storage
Data Acquisition
Gateway
Server
Remote Monitoring
User Interface
FAULT DIAGNOSIS POWER QUALITY ENERGY EFFICIENCY
Enging’s online, real-time monitoring platform provides users with timely. sensitive, and reliable fault diagnosis.
Enging ePreditMntc® software
Focusing on the latest IIoT Technologies, ePreditMntc® is a disruptive approach in the traditional asset condition monitoring platforms.
ePreditMntc® is a user-friendly web platform that, in a seamless way, allows a real-time, online and remote monitoring of the electric machine´s operating conditions.
This platform relies in specific mathematical models of electric machines to provide very detailed information of small abnormalities that start to arise in a very early stage.
Mathematical model
Using a non-invasive approach to acquire the electric variables (current and voltage) of the monitored machines, high frequency sampling and highly developed and tested algorithms for the performance electric machines ePreditMntc® provides the ability to:
– predict the operating condition and degradation of electric machines
– identify incipient faults that could result in an unplanned stoppage of the machine.
No need for historical data
As the ePreditMntc® starts with a mathematical model of performance, the system can be deployed without the need for any historic data set and can provide actionable insight immediately.
ePreditMntc® provides detailed and targeted machine condition assessments from day-one of monitoring, allowing for the identification, scheduling and planned repair or replacement as necessary, rather than awaiting failure and requiring repair during operations.
Improved asset reliability
ePreditMntc®’s algorithms identify manufacturing defects, improper installation or maintenance, as well as potential intermittent faults in the key components of your industrial assets. With improved visibility on asset conditions, you can optimise your maintenance schedule and keep your critical assets safe and fit for operation. Increased assets availability enhanced productivity and save maintenance cost.
Energy efficiency
In addition to the early detection of degradations and fault detections, ePreditMntc® can identify sources of energy inefficiency.
ePreditMntc® detects developing abnormalities that cause assets to run less efficiently; assets that need to be calibrated or recommissioned for their processes, and or processes that are inefficient by design. Helping your plants to reduce their energy consumption.
Simplicity
The user interface is very simple, intuitive and presents several graphs for data visualization. In the majority of these graphs, it is possible to navigate, zoom, select/unselect variables. By positioning the mouse pointer over the curves in the graph, detailed information is automatically provided.
Automatic alarms emission due to incipient faults
Graphs with the Asset’s Severity Factor trending will be always present, providing indication of their global degradation trend. For this graph, the commonly used yellow and red thresholds/limits are also shown and automatic alarms can be send to specific users.
When a failure does occur, ePreditMntc® will tell your users exactly what’s wrong with the asset, enabling your team to act as quickly as possible with an accurate source of actionable information.
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Technical Services
Would you like more information?
Contact us and find out how we can help you to sense, analyse and monitor your assets, regardless of industry, duty or location.