DC-E DigitalClone for EngineeringSentient Science Corporation
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Related Products
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About
DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2).
DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.
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About
MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Designers and analysts of gearboxes, gears, bearings and associated materials and lubricants.
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Audience
Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Upon request
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationSentient Science Corporation
Founded: 2001
United States
sentientscience.com
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Company InformationMPCPy
United States
github.com/lbl-srg/MPCPy
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Alternatives |
Alternatives |
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Categories |
Categories |
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Engineering Features
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
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Integrations
Python
Ubuntu
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