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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

E-Coord excels in effectively analyzing time-current curves for overcurrent protection devices. With an extensive library containing data for more than 2,000 distinct devices, users can effortlessly select their desired devices from the list to get started. Additionally, E-Coord allows for easy modifications to the existing data or the incorporation of new devices, ensuring flexibility for users. By downloading the functional demo version, you can discover why many professional engineers prefer E-Coord for their projects. This software not only facilitates the selective coordination of fuses and circuit breakers but also offers an immediate overview of their time-current curves within a proposed electrical protection system. In addition to identifying curve overlaps, E-Coord further evaluates the melting and clearing I²T values for each fuse, allowing for the detection of any time-current overlaps that may not be apparent in a standard plot. E-Coord's comprehensive library features over 2,000 protection devices from a wide range of manufacturers, enhancing the software's utility for engineers in the field. This impressive array of tools makes E-Coord an invaluable resource for anyone involved in electrical engineering.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Pascal
Python

Integrations

Pascal
Python

Pricing Details

$999
Free Trial
Free Version

Pricing Details

€289
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

Elite Software Development

Country

United States

Website

www.elitesoft.com/web/electrical/elite_ecoord_info.html

Vendor Details

Company Name

SigmaLab Tomas Cepowski

Founded

2017

Country

Poland

Website

www.ndcurvemaster.com

Product Features

Electrical Design

CAD Tools
Change Management
Collaboration
Compliance Management
Document Generation
Drag & Drop
Electrical Parts Catalog
Functions / Calculations
One Line Diagram
PLC Tools
Reusable Designs
Symbol Library

Product Features

Statistical Analysis

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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