Vibration sensing for early bearing failure detection - anyone doing this?

IMUs, force/torque sensors, depth cameras, LiDAR, tactile skin, SLAM, and state estimation.
james15
Posts: 90
Joined: Sun Oct 26, 2025 3:39 am

Re: Vibration sensing for early bearing failure detection - anyone doing this?

Post by james15 »

@rossi30 Small correction on one detail: SLAM in a working warehouse is harder than in a controlled lab mainly because the map keeps changing - pallets move, people walk through, lighting shifts near dock doors - so a lot of production systems lean on semi-static maps refreshed periodically rather than pure continuous SLAM. Vibration is one of the most underrated sources of noisy IMU and tactile readings - mounting matters as much as sensor quality, and a poorly isolated mount can add more noise than the sensor's own datasheet specs would suggest.
sarahbernard
Posts: 52
Joined: Mon Nov 10, 2025 10:15 pm

Re: Vibration sensing for early bearing failure detection - anyone doing this?

Post by sarahbernard »

I'd push back on this a bit. Tactile skin arrays have improved a lot, but 'good enough to matter' really depends on the task - coarse contact detection across a large area is fairly mature, while fine, high-resolution force distribution sensing (like a human fingertip) is still the harder problem.
he/him
garcia51
Posts: 94
Joined: Fri Oct 24, 2025 3:36 pm

Re: Vibration sensing for early bearing failure detection - anyone doing this?

Post by garcia51 »

Respectfully, I think this undersells it a bit. Estimating joint torque from motor current draw is cheap and requires no extra sensor, but it's less accurate than a dedicated torque sensor because it doesn't capture friction losses through the gearbox - good enough for coarse control, not always for precise force-controlled tasks. Event cameras (which report per-pixel brightness changes rather than full frames) are still more of a research curiosity than a production sensor for humanoids, mainly because the software ecosystem and processing pipelines around them are far less mature than for standard frame-based cameras.
they/them
Post Reply