What worked for me in the end, was to first understand state observers (e.g. Luenberger observers) and then consider a Kalman filter as an optimal observer, where the observer gain is the steady-state Kalman gain.
The whole duality between state-feedback design and observer design -- and LQR and Kalman filters. Then it made sense :-)
I put it near the airlock and detect peaks. For now, the most valuable information I extract is when the fermentation starts and stops -- with notifications on my phone :-)
Awesome! I attempted the same approach, but after discovering a cheap gas concentration sensor (MQ-135, tunable to CO2) I abandoned the audio approach for a minimum of data processing. I get very accurate bubble detection and highly recommend it :-)
I built a Prusa i3, with most parts 3D-printed on another Prusa i3. I mainly use it for university projects, printing actuators and cases.
Last semester we printed a model boat, about half a meter long, outfitted it with a printed a linear actuator to control the rudder angle, and - as our semester project - built an autopilot for it. Great fun :-)
I don't know if it is my browser, but to me I get the feeling the site is disabled, with the very darkend colors. It's almost as if a modal is showing, and the rest of the page is faded out - but I can't see no modal. Just my first impressions. But other than that: Really cool - going straight to the bookmarks!
Any type of comment!
Great feedback, I can use anything at the moment, since I really wan't to learn the language and the process of building something with it :)
And I had also recently started using HN, so I wanted to share it with others.