FAQ

Depending on the frequency in which new data is generated and needed to be monitored, between several tens to several hundreds of models may be monitored by a single MindSet Detector server.

How many models may be monitored online?

MindSet Detector has been tested under a Window 10 embedded environment. A full embedded version will be available later this year.

Can Mindset Detector work in an embedded environment?

No. MindSet Detector is a generic system capable of detecting abnormalities in any industrial time-based process. Its abnormality engine is designed to detect abnormalities in a sensor diagnostics environment.

Is Mindset Detector tailored for water applications only?

Data should be arranged into three files. Two mandatory datasets: "Learning" and "Testing," along with an optional "Classified" case dataset. All sets must be in a CSV format file with field names in the header. Classified cases should have an additional column with classification (0 for True Negative, 1 for True Positive). MindSet Detector reads both files and performs an initial learning session, which takes between 2 to 15 minutes, depending on file size. After learning, a testing session results with the number of alarms divided into True Positive, False Positive, and False Negative. Results may be improved using the tuning screen of the MindSet Model. For further details, view the MindSet Detector Manual.

What is needed in order to calibrate the MindSet Detector Model, and how long should it take?

Depending on the frequency in which new data is generated and needed to be monitored, between several tens to several hundreds of models may be monitored by a single MindSet Detector server.

What about licensing?