SATE’s software tool, KETTY (Knowledge Extraction from TelemeTrY) now supports Intespaces™ DynaWorks® databases, granting a smooth integration between the two software environments.

This, on one side, enables KETTY™s users to import data coming directly from DynaWorks®™ databases. On the other side it enables DynaWorks®™ users (with an add-on KETTY license) to perform additional analysis, including automatic:

  • Extraction of synthetic characteristics of the monitored data (system characterization);
  • Evaluation of the system behaviour, by the identification of subsystems or components with novel behaviour, ordered by priority score (novelty detection);
  • Determination of cause-effect relationships between parameters of the system that may not be known a priori (behaviour interpretation).

without the need for a priori knowledge about the system.


For greater details on KETTY see

For greater details on DynaWorks® see

See also the following publications describing the results obtained in two ESA (European Space Agency) projects applying methods included in KETTY:

Biancat J., Brighenti C., Brighenti A, José©-Antonio Martínez-Heras, Alessandro Donati: “Dealing with data”, LNG industry, Jan. 2016, pp. 65-71 (2000K)

Biancat J., Brighenti C., Brighenti A.:Knowledge Extraction”, LNG industry, Jan. 2015, Vol. 11, Nr. 1, pp. 67-70 (2200K)

Biancat J., Brighenti C., Brighenti A., José-Antonio Martì­nez-Heras, Alessandro Donati, David Evan: Priority scores based on novelty detection to improve the efficiency of ground-operation, 2016 Conference on Big Data from Space – BiDS™16, Tenerife (ES), 15-17 March 2016, pp. 137-140. (600K)

Evans D., Martinez J., Korte-Stapff M., Brighenti A., Brighenti C., Biancat J.: “Data Mining to Drastically Improve Spacecraft Telemetry Checking: An Engineer’s Approach”, 14th International Conference on Space Operations, Daejeon (Korea), 16-20 May 2016. (800K)