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Description
System 1 is an all-encompassing platform for condition monitoring and diagnostics that aims to improve the reliability and functionality of industrial machinery. By integrating data from multiple sources such as vibration monitoring, process controls, and system operations, it offers a comprehensive overview of asset health. The platform connects effortlessly to edge data sources, capturing high-resolution data on vibration and processes with a frequency of up to once per second. It is compatible with industry-standard protocols like OPC UA, facilitating easy data export and ensuring it can work seamlessly with current systems. Additionally, it features state-based alarm configurations and decision support tools, allowing users to create tailored rules that provide advanced insights into both machine performance and process conditions. This proactive strategy is invaluable in identifying potential changes before they lead to failures. The software also includes an easy-to-use Human-Machine Interface (HMI) builder that visually depicts plant assets, utilizing color-coded indicators to represent the health of machines effectively. As a result, operators can make informed decisions based on real-time data and insights.
Description
WindESCo delivers innovative solutions aimed at improving the efficiency and dependability of wind turbines through two core products: Pulse and Swarm. Pulse harnesses artificial intelligence and machine learning to provide in-depth performance analytics and monitor the health of assets over twelve turbine subsystems. By consolidating various data streams—such as SCADA, events, maintenance history, vibration analysis, and meteorological information—into a cohesive data fabric, it empowers users to pinpoint actionable insights that influence turbine efficiency. Additionally, Pulse includes case management capabilities that facilitate operational and maintenance workflows, track the progress of resolutions, and keep all essential information centralized. On the other hand, Swarm employs a collective autonomous control system, allowing turbines to communicate and learn from one another, which significantly enhances the output of wind farms. Together, these technologies represent a significant advancement in the management and optimization of wind energy resources.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Baker Hughes
Country
United States
Website
www.bakerhughes.com/bently-nevada/system-1-condition-monitoring-software
Vendor Details
Company Name
WindESCo
Founded
2014
Country
United States
Website
www.windesco.com