I'm looking at making a predictive maintenance model for a drone (quadcopter mainly but can include others)

I'm wondering what is the most common causes of failure due to "overflying". (not including crashes etc) and how I would quantitatively measure it.

eg. I've read that one mode of failure is rotor malfunction is one of the most common causes of faults and so I would therefore use a vibration sensor (positioned near the rotor?) to measure it.

Are there other common failure modes? And what data can we collect from a drone that would help mitigate those?

Any help much appreciated!!

Kindest regards



closed as too broad by AEhere supports Monica, Sean, Gerry, Ralph J, xxavier Aug 11 at 10:06

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  • $\begingroup$ This is far too broad and non-specific to belong here. Apart from battery service life issues, likely very few "drones" outside of those that are nearly traditional aircraft without a pilot on board are actually "overflown" but rather most damage will occur from "incidents" and handling during transport and servicing. You'd need to focus on a particular set of components, look at suspected and actually observed failure modes of those. For those that are comparable to manned aircraft, start with the incumbent standards for those technologies and add concerns about the unique systems. $\endgroup$ – Chris Stratton Mar 13 at 16:49

Predictive Maintenance (PM) typically relies on a triad of vibration, thermal and oil analysis, or any combination thereof. Probably vib and thermal would apply. Cheapest option would be to physically hold the drone while running (if possible) and acquire vib and thermal, using handheld instruments. All-in option would be a hardwired system, permanently installed. With a hardwired system, you'll need a vib and a thermal transducer installed on each power/rotor module. Hope this helps.


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