DIAdem

DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting

DIAdem is application software that helps engineers accelerate post-processing of measurement data. It is optimized for large data sets and includes tools to quickly aggregate and search for the data you need, view and investigate that data, transform it with engineering-specific analysis functions and share results with a powerful drag-and-drop report editor. You can use DIAdem with over one thousand data file formats by utilizing DataPlugins. You can leverage scripts written in Python or Visual Basic to automate your repetitive data post-processing tasks and transform your measurement data into complete, accurate, and actionable insights. 

Explore DIAdem Features

Understand electromechanical system behavior by using DIAdem to pull together diverse sensor data from various sources, synchronize and play it back to comprehend the full picture, and transform it using engineering-specific analysis functions.

Minimize time spent on repetitive tasks by using DIAdem to automate steps like loading data from various sources, transforming your data into insights through analysis, and generating reports with standardized templates.

Standardize analysis and reporting across your team with DIAdem, which can load and reuse data queries, analysis scripts, and report templates created by others.

DIAdem Base
  • Search and load data in any file format using DataFinder technology’
  • Use standard analysis and visualization objects for inspection and reporting
  • Run scripts written in DIAdem Advanced or Professional
DIAdem Advanced
  • Use advanced analysis functions such as pattern matching and fast Fourier transform (FFT)
  • Synchronize data playback with video files for interactive inspection
  • Write scripts to automate common workflows and customize the DIAdem environment
DIAdem Professional
  • Recommended for comprehensive analysis and reporting tasks
  • Execute complex analysis functions such as order tracking, circle regression, and extended classification
  • Represent complex data sets using waterfall plots, maps, and 3D models