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Ratings and Reviews 0 Ratings
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What is SABR?
SABR is a robust software suite meticulously crafted for the design and development of shafts, gears, and bearings. Its creation is centered around integrating smoothly into the design process to drastically reduce the time taken for product development, featuring an intuitive graphical interface that allows for comprehensive modeling of transmission systems based on the design's current stage. In addition, SABR is equipped to conduct sensitivity analyses that evaluate how different geometric parameters, bearing types, and gear arrangements affect performance, providing immediate insights. The software's core solvers are built on well-established engineering principles and draw from Ricardo’s vast knowledge in product design, manufacturing, and testing, ensuring they align with the latest trends in practical testing and development. With its easy-to-navigate graphical interface, users can swiftly produce precise models. It also includes functionalities for bearing analysis, such as life expectancy calculations and stress visualizations that account for various loading conditions and misalignment issues. Moreover, SABR is capable of handling intricate duty cycles with multiple load paths and supports the design of both parallel and epicyclic gears as well as bevel gears, which enhances its adaptability and utility in engineering applications. Ultimately, SABR stands out as an essential resource for engineers seeking to optimize their design processes and improve product reliability.
What is ONEPREDICT?
In merely one week after being set up, the system is capable of detecting both electrical (stator and rotor) and mechanical (bearing and shaft) problems in motors. The cutting-edge Guardione® sensors are cleverly positioned inside the motor control cabinet instead of being attached directly to the motors, thus removing limitations associated with the motors' size or placement for installation. As a result, this configuration permits ongoing and thorough surveillance not just of a few faulty motors, but of an entire fleet that may encompass thousands of motors, guaranteeing peak performance and reliability. This advanced monitoring capability enables operators to keep a constant watch over their equipment at any time and from anywhere, which enhances operational efficiency. The flexibility of the system also facilitates rapid response to emerging issues, ultimately leading to reduced downtime and maintenance costs.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Ricardo
Date Founded
1915
Company Location
United Kingdom
Company Website
software.ricardo.com/products/sabr
Company Facts
Organization Name
ONEPREDICT
Company Location
United States
Company Website
onepredict.ai
Categories and Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis