/products/raspberry-pi/raspberrypi_projects/b/blog/posts/tinyml-gearbox-fault-prediction-on-a-4-mcuHow to apply the tinyML approach to detect broken tooth conditions in the gearbox based upon recorded vibration data.en-USTelligent Community 12https://community.element14.com/products/raspberry-pi/raspberrypi_projects/b/blog/posts/tinyml-gearbox-fault-prediction-on-a-4-mcuMon, 30 May 2022 13:21:33 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:af5bbdfb-f0ff-4a99-8690-991636699224feiticeir01<p>This is interesting. I&#39;ve been reading on predicting malfunctions with vibration and have trained a model for it, just for kicks (it&#39;s a course on Coursera), but I run inference from live data. I&#39;ve tried it with my laundry washer ! [emoticon:c4563cd7d5574777a71c318021cbbcc8]</p> <p>Like this you&#39;re running it offline ? Is the pico receiving live data from the vibration sensor ?</p> <p>I didn&#39;t knew Neuton.I&#39;ll explore it ! </p> <p>Nice project !</p><img src="https://community.element14.com/aggbug?PostID=23685&AppID=84&AppType=Weblog&ContentType=0" width="1" height="1">https://community.element14.com/products/raspberry-pi/raspberrypi_projects/b/blog/posts/tinyml-gearbox-fault-prediction-on-a-4-mcuMon, 30 May 2022 12:49:59 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:af5bbdfb-f0ff-4a99-8690-991636699224shabaz0<p>Great project! Very interesting.</p><img src="https://community.element14.com/aggbug?PostID=23685&AppID=84&AppType=Weblog&ContentType=0" width="1" height="1">https://community.element14.com/products/raspberry-pi/raspberrypi_projects/b/blog/posts/tinyml-gearbox-fault-prediction-on-a-4-mcuMon, 30 May 2022 12:30:45 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:af5bbdfb-f0ff-4a99-8690-991636699224Jan Cumps0<p>This is right on time.&nbsp;[mention:b0bc65b9ecdc4307bd967592f00e340a:e9ed411860ed4f2ba0265705b8793d05] and I have been working with vibration data acquisition systems.&nbsp;</p><img src="https://community.element14.com/aggbug?PostID=23685&AppID=84&AppType=Weblog&ContentType=0" width="1" height="1">