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Extend the life of your electric assets with proactive, intelligent maintenance

Featuring comprehensive asset management and industrial predictive maintenance capabilities, GRT’s solution connects easy-to-implement remote smart sensors to AI-driven analytics. Discover why organizations in oil & gas, power generation, mining & minerals, water & wastewater management, chemicals & petrochemicals, and discrete manufacturing industries invest in our versatile data acquisition sensors and high-speed analytics platform, extending the life of their business-critical electric assets.

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Informed decision making, greater energy efficiency, and opportunities for decarbonation thanks to real-time data processing and your own digital twin

Predictive Maintenance Algorithm

Align real-time data capture, processing, and analytics with positive business outcomes and actionable insights to prevent costly equipment damage and losses.

High Frequency Sensors

Remote smart sensors consistently feed into AI-driven analytics to ensure the best possible visibility and predictive capabilities providing your teams with a complete view of your assets’ performance.

Data Processing

Sensor data is processed locally for greater efficiency before the data is safely encrypted and transferred via ethernet, Wi-Fi, or high-speed mobile connectivity.

Emergency Analytics & Controls

Use electric measurements with high sampling rates to quickly detect abrupt performance changes, anticipate imminent equipment failures, and minimize the business impact of downtime.

Data Storage

Distributed data repositories aggregate data from multiple sensors to enable real-time processing and analytics through a high-speed, in-memory grid

Self-Learning AI

Ensure the most precise and actionable insights from machine learning, enabling your teams to prevent incidents and optimize everyday operational processes with minimal additional labor required.

Computing & Analytics

Deliver a comprehensive and predictive view of all your operational assets with consistent, high-speed anomalies discovery to support assets' health and performance,

Dashboard Alerts

Access built-in, purpose-built dashboards for an exceptional user experience or integrate our flexible architecture with your own preferred employee interface.

High Frequency Sensors

Remote smart sensors consistently feed into AI-driven analytics to ensure the best possible visibility and predictive capabilities providing your teams with a complete view of your assets’ performance.

Data Processing

Sensor data is processed locally for greater efficiency before the data is safely encrypted and transferred via ethernet, Wi-Fi, or high-speed mobile connectivity.

Emergency Analytics & Controls

Use electric measurements with high sampling rates to quickly detect abrupt performance changes, anticipate imminent equipment failures, and minimize the business impact of downtime.

Data Storage

Distributed data repositories aggregate data from multiple sensors to enable real-time processing and analytics through a high-speed, in-memory grid.

Self-Learning AI

Ensure the most precise and actionable insights from machine learning, enabling your teams to prevent incidents and optimize everyday operational processes with minimal additional labor required.

Computing & Analytics

Deliver a comprehensive and predictive view of all your operational assets with consistent, high-speed anomalies discovery to support assets' health and performance.

Predictive Maintenance Algorithm

Align real-time data capture, processing, and analytics with positive business outcomes and actionable insights to prevent costly equipment damage and losses.

Dashboard Alerts

Access built-in, purpose-built dashboards for an exceptional user experience or integrate our flexible architecture with your own preferred employee interface.

Predicting technical failures for greater energy savings

Our solution helps you predict and prevent both common and complex potential failures. Areas of coverage include:

Power

Using high-sampling rate electrical measurements, detect changes in the power grid to help prevent equipment failures and production losses.

  • Current unbalances
  • Harmonic distortion
  • Drops in voltage
  • Power quality problems

Stator

Detect mechanical and electrical faults associated with motor or stator failures to help prevent operational disruptions.

  • Stator insulation faults (coil-to-coil, turn-to-turn, and phase-to-phase)
  • Stator electrical imbalances
  • Stator winding looseness

Rotor

Detect irregularities such as broken rotor bars that may be causing inefficiencies, helping to prevent costly deterioration and repairs:

  • Rotor mechanical imbalances
  • Broken or loose rotor bars

Load

Anticipate events through early fault detection, ensuring advanced generation and more flexible and controllable loads.

  • Bearing degradation and faults
  • Coupling and load failure
  • Gear misalignment

Take the next step with a 30-minute demo

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Advantages for the Entire Team

Operations Managers
Multi-layer Views
Operations leaders can increase unbiased perspectives and guidance through embedded control for clearer, faster decision making. Users never miss important insights thanks to real-time mapping of data streams, geographic visualizations, and both local and global views.
Instant Detection
GRT offers an integrated platform with early event detection for advanced generation and load coordination. It features instant equipment failure detection, which can save power, reduce downtime, and even prevent disasters, all thanks to its rapid electrical measurements and high sampling rates.
Custom User Experience
Our solution allows for a customizable user experience with flexible interface and integration technologies. Align our technology with your existing enterprise digital tools for easy access; or adopt a dedicated interface purpose-built to reflect your unique needs.
Maintenance Teams
Integrated Monitoring
Empower maintenance teams to drive the greatest possible value from your assets. Using a combination of pattern recognition features and physical models, local integrated monitoring and maintenance tools ensure output efficiency at the full scale of your operations.
Predictive Maintenance
Maintenance leaders can engage in better planning using predictive maintenance that reduces failures and maintenance-driven downtime. Track usage metrics with real-time charts and graphs, then leverage real-time intelligence through data stream mapping for accurate performance forecasts.
Expanded Asset Life
Enable early warnings and improve situational awareness among personnel about potential monitoring and maintenance issues before they arise. Ensure proactive, adaptive, and ongoing maintenance to meet your organization’s ever changing business requirements.
Digital Innovators
IoT Sensors
Combine powerful and comprehensive analytics with modern sensor technology. Predictive analytics leverages data from low-cost smart sensors attached to electric devices’ power sources, not the often hard-to-reach devices themselves. You can use GRT technology no matter your industry or device locations.
Unified Framework
Our unified framework features and integrated suite of complementary components for ingesting, storing, analyzing, and visualizing data processing streams. All data sources are converted by advanced tools into actionable intelligence, accessible via visualizations on user-friendly digital tools.
Scalable Architecture
Our in-memory grids bring scalable function ready for fast deployments and high-performance control. Scale sensors and connectivity to any number of electrical devices for a comprehensive view of your growing operations.
Business Leaders
Realize ROI
Monitor and track key performance metrics and evangelize those business benefits to internal stakeholders as you demonstrate sustainable ROI on your asset, technology, and maintenance solution investments.
Save Energy and Reduce CO2
Developed Digital twin model provides timely insights for predictive maintenance, reduces operational risk, and guarantees a high-quality Power production.
Inventive Technology
PowerLink applications, built on the Machine Learning algorithms’ models, are converting the timestamped data into information and pinpointing problems among billions of collected, cleansed, and secured IoT data.

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