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What is ONYX Insight?

ONYX Insight provides comprehensive predictive maintenance solutions specifically designed for wind turbine operators, integrating state-of-the-art sensing technologies, software analytics, and professional engineering consultancy to enhance turbine performance and reduce operational costs. Their versatile, hardware-agnostic platforms, such as fleetMONITOR and AI HUB, merge data from various monitoring systems, including vibration sensors, oil analysis, SCADA, and pitch-bearing diagnostics, into unified dashboards, facilitating effective health assessments across entire fleets and enabling proactive fault detection. The AI HUB platform includes dedicated modules for pitch bearing monitoring, utilizes drone technology for blade inspections, manages case studies, and offers insights on energy losses, significantly improving operational processes and supporting informed maintenance decisions. Additionally, ONYX Insight has developed ecoCMS, an economical condition monitoring system that employs MEMS technology, along with ecoPITCH, a sensor system aimed at the early detection of pitch-bearing failures. This extensive array of resources underscores ONYX Insight's dedication to fostering innovation and efficiency within the wind energy industry, while also paving the way for future advancements in renewable energy technologies. By continuously evolving their offerings, ONYX Insight ensures that wind turbine operators can optimize their operations and contribute to a more sustainable energy landscape.

What is DC-OM DigitalClone for Wind O&M ?

Sentient Science presents DigitalClone for Wind Operations and Maintenance (DC-OM), a validated software-as-a-service (SaaS) solution tailored for wind turbine operators. This innovative platform enables providers and original equipment manufacturers (OEMs) to collaboratively assess the remaining useful life (RUL) and health of essential systems and components within an asset. By enhancing predictive maintenance strategies, DC-OM aims to significantly lower operations and maintenance (O&M) expenses while simultaneously prolonging the lifespan of equipment assets. The versatility of DC-OM allows users to deploy it as an independent monitoring solution or as an enhancement to current condition monitoring systems (CMS) and diagnostic tools, ensuring it is optimized for both scenarios. Notably, DC-OM can autonomously identify damage in assets that are presumed to be healthy, providing actionable insights, and it also tracks the evolution of damage with comprehensive uncertainty quantification. The insights generated by DC-OM are driven by a proprietary fusion framework that leverages physics-informed machine learning, supported by a distinctive architecture for unifying data from multiple sources, making it a unique asset in the wind energy sector. This comprehensive approach not only empowers operators to make informed decisions but also fosters greater efficiency and reliability in wind turbine management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Upon request
Fleet size dependent

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ONYX Insight

Date Founded

2008

Company Location

United Kingdom

Company Website

onyxinsight.com

Company Facts

Organization Name

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Wind Farm

Not specified

Categories and Features

Fleet Management

Incident Reporting
Inspection Management
Maintenance Management

Maintenance Management

Predictive Maintenance
Preventive Maintenance

Preventive Maintenance

Condition Monitoring
Inspection Management
Predictive Maintenance

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