Hi, While thinking to the work on oxygen sensor data you are doing, I had a couple of somewhat foolish thinking.
In eccr mode the unit is working at a given setpoint for part of the dive. The set of ppO2 values from the three sensors will follow the setpoint. the set can be said to be precise if the values are close to the average value of the quantity being measured, while the set can be said to be accurate if the values are close to the true value of the quantity being measured, aka the setpoint. So my question is. Do you think will be possible to analyze those data set (each data set is one sensor) to understand if there is one sensor which show a different behaviour while measuring the ppO2? Formerly, from my ancient college studies, I was thinking to the variance but it express variation respect the dataset average value. I think it's really a question of "accuracy". I wonder if we can have a sort of accuracy of each sensor respect the setpoint for each dive and maybe during the time I can spot an aged sensor... I'm realizing that the above doens't fit in mCCR mode where you do not have precise setpoint. So I had another foolish thinking. Perhaps more simply we could just correlate sensor readings trying to spot if there is always a sensor value which distances from the others. Maybe after several dives I could find that the same behaviour comes from the same sensor. Again I could spot an aged sensor. Something similar to the controller's voting logic but applied after the dive to the entire dataset which we have. Maybe it's something so obvious that already other people tried to do something like this proving it wrong. l go dive. -- Davide https://vimeo.com/bocio/videos _______________________________________________ subsurface mailing list [email protected] http://lists.subsurface-divelog.org/cgi-bin/mailman/listinfo/subsurface
