I used to work for a (traditional) engineering company that partners with an F1 team.
Once a year they would come around and give a talk about asset reliability and how they operate.
An interesting story was how the one time they ignored their data (because, due to the reliability of the part involved, they couldn't believe the likelihood of such an event occurring) they had a catastrophic engine failure mid-race.
Thanks to the data collected they were able to run detailed simulations to "debug" the issue - a small change somewhere else causing a part to vibrate at it's natural frequency - i.e shaking itself to bits. This then helped them mitigate the risk of the same thing happening in the future.
From then on they always trust the data.
Test your sensors, trust your sensors, trust your data.
Once a year they would come around and give a talk about asset reliability and how they operate.
An interesting story was how the one time they ignored their data (because, due to the reliability of the part involved, they couldn't believe the likelihood of such an event occurring) they had a catastrophic engine failure mid-race.
Thanks to the data collected they were able to run detailed simulations to "debug" the issue - a small change somewhere else causing a part to vibrate at it's natural frequency - i.e shaking itself to bits. This then helped them mitigate the risk of the same thing happening in the future.
From then on they always trust the data.
Test your sensors, trust your sensors, trust your data.