Empresa especializada en software CAD y CAE, diseño, consulting eléctrico, electrónico y magnetismo, así como en la formación de estas áreas.

Presentación

Offline plotting and analysis are critical aspects of many engineering and scientific studies. Having the right tool to quickly and efficiently view, analyze, and modify large quantities of data is equally important.

Process Data Quickly and Efficiently

Enerplot™ is a fully automatable application that allows you to perform highly repetitive tasks at lightning speed. You can write scripts using the embedded Python interface or record your actions to create custom script macros.

Application-level functions include loading data, creating graphs, and generating curves.

Additionally, Enerplot’s Python math library allows you to create custom curves.

Transformer core flux density vs. magnetic field intensity.

Three-phase voltage transient.

Enerplot Supports the Import of Data in Many Formats

  • PSCAD™/EMTDC™ output (*.inf, *.infx, *.out)
  • COMTRADE (*.cfg) – 1991, 1999 both ASCII and binary
  • PSS®E (*.out, *.asc) (licensed by Siemens AG)
  • RSCAD® (*.out) (licensed by RTDS Technologies Inc.)
  • Comma Separated Values (*.csv) – formatted and unformatted
  • Text Files (*.txt) – formatted and unformatted

Datasets sourced and loaded from any of the supported types above can be converted and saved as either COMTRADE or Comma Separated Variable (*.csv) format.

Features and benefits

  • Automated scripting with embedded Python interface
  • The ability to create custom scripts by recording user actions
  • Powerful, embedded math parser for creating and modifying new and pre-existing curves
  • Fast-Fourier Transform (FFT) analysis tools
  • Saving time with the ability to template projects when performing similar studies
  • Quickly switching between curves by toggling references and loaded datasets
  • Easily shifting, scaling, smoothing, and manually adjusting curves
  • Loading huge data files in seconds with the lazy-loading feature
  • Option to update graphs using data file change detection