Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enhance the precision and sustainability of Advanced Process Control (APC) models by integrating both linear and nonlinear variables through deep learning techniques, thereby expanding their operational capabilities. Achieve better return on investment by facilitating swift controller implementation, ongoing model enhancements, and more streamlined workflows that simplify the process for engineers. Transform the model development landscape with artificial intelligence and refine controller tuning via intuitive wizards that guide users in defining both linear and nonlinear optimization goals. Boost controller availability by utilizing cloud technology to access, visualize, and analyze real-time Key Performance Indicators (KPIs). In the fast-paced global market, energy and chemical industries must adapt with agility to satisfy consumer demands and optimize profit margins. Aspen DMC3 represents cutting-edge digital technology that empowers companies to realize a 2-5% increase in throughput, a 3% enhancement in yield, and a 10% decrease in energy consumption. Explore the innovative advancements in next-generation advanced process control technology and discover the transformative impact it can have on operations. This technology not only boosts efficiency but also supports sustainable practices within the industry.
Description
ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are.
ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value.
ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
€289
ndCurveMaster WIN/MAC – Web Download
LIFETIME License
LIFETIME License
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aspen Technology
Country
United States
Website
www.aspentech.com/en/products/msc/aspen-dmc3
Vendor Details
Company Name
SigmaLab Tomas Cepowski
Founded
2017
Country
Poland
Website
www.ndcurvemaster.com
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
Yes