From raw operating data to practical asset intelligence
Renewable energy assets generate large volumes of data, but data alone does not improve performance or reliability. Operators need secure access to the right data, the ability to process it at scale, and the domain expertise to translate signals into meaningful action.
PulseSense technology is designed around that need.
We combine secure data integration, high-resolution analytics, field data acquisition, and asset-specific domain models to help operators identify performance losses, detect abnormal equipment behavior, and make better operating and maintenance decisions.
Three capabilities that power PulseSense solutions
Secure Data Integration and Cloud Analytics
PulseSense integrates with multiple plant and equipment data sources, securely transmits data to a cloud analytics platform, and processes large volumes of high-resolution operating data. This enables visibility into operating behavior that may be difficult to detect with conventional reporting systems or low-resolution data alone.
Renewable Energy Domain Expertise
The value of analytics depends on knowing what to look for. PulseSense combines data science with domain expertise in wind turbine performance, wind farm control, electrical system condition monitoring, and mechanical system health. This allows us to distinguish meaningful asset behavior from noise, prioritize the right issues, and provide recommendations that reflect real operating conditions.
Cost-Effective Field Data Acquisition
Not every asset has the instrumentation needed for effective monitoring. For those situations, PulseSense uses its proprietary, cost-effective data acquisition systems to collect multiple streams of mechanical, electrical, and operating data at the site.
This is especially important for small and mid-sized hydro plants, where traditional monitoring systems are often too expensive to justify. PulseSense enables operators to add the right level of sensing without over-instrumenting the plant.
Key Capabilities
- Mechanical sensor data collection
- Electrical sensor data collection
- Multi-channel data acquisition
- Site-level operating data collection
- Integration with cloud analytics
- Practical deployment for cost-sensitive assets
- Scalable monitoring architecture
- Support for phased deployment
Key Areas of Expertise
- Wind performance analytics
- Real-time wake steering
- Electrical system condition monitoring
- Mechanical system condition monitoring
- Hydropower turbine and generator monitoring
Key Capabilities
- SCADA data integration
- High-resolution turbine data ingestion
- Historian and controller data connectivity
- Sensor data integration
- Secure site-to-cloud transmission
- Cloud-based analytics
- Large-scale time-series data processing
- Fleet-level data management
A practical architecture for asset intelligence
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Step 1: Connect to available data
PulseSense connects to existing data sources such as SCADA systems, historians, controllers, and available plant data streams.
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Step 2: Add targeted sensing where needed
Where existing data is insufficient, PulseSense deploys cost-effective data acquisition systems to capture mechanical, electrical, and operating signals.
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Step 3: Securely transmit data
Data is transmitted securely from the site to the PulseSense cloud analytics platform.
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Step 4: Analyze at high resolution
PulseSense processes large volumes of time-series data, including high-resolution data captured every few seconds where available.
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Step 5: Apply domain-specific models
Analytics are tailored to the asset and application: wind performance, yaw misalignment, wake steering, electrical condition monitoring, or mechanical health.
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Step 6: Deliver actionable insight
Operators receive prioritized insights, health indicators, performance findings, and recommended actions.
Designed with secure data handling in mind
Energy operators need technology that respects site security and operational constraints. PulseSense is designed to integrate with plant data sources in a cyber-secure manner, transmit data securely, and support controlled access to cloud-based analytics.
- Secure site-to-cloud data transmission
- Controlled data access
- Integration designed around plant requirements
- Cloud-based analytics environment
- Support for customer-specific data architecture requirements