FORT ATKINSON, Wis., - While data collection and algorithmic technology continues to advance and move preventative maintenance into the future, the question is now shifting to, how do you put it to use? What data is good data? And can you ever collect too much data? asks Maggie J. Ma and AviationPros. Continue reading original article.
The Military & Aerospace Electronics take:
28 April 2022 - Joel Klooster, who is the VP of Product Management, GE Digital, said the answer to the latter question is no – having a long, robust history of data is never a negative. However, if you’re training an algorithm to change some operations over to, you won’t want to feed it all 15 years’ worth.
“The simple answer is there’s no such thing as too long to be storing the data. Now, to be using the data, you want to make sure that your operation and the type of environment you’re changing in is relevant to the data set that you’re using to train the algorithm. You may have 15 years’ worth of data. You may only want to go use the last couple of years of data to be training the algorithms because you’ve got different operating procedures, different fuel loading procedures, different weather patterns, city pairs, things like that,” Klooster said.
Where data collection and analysis help in preventative maintenance is reinforcing what you know, then discovering what you know you don’t know and what is totally unknown to you; transcending preventative maintenance into predictive maintenance.
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Jamie Whitney, Associate Editor
Intelligent Aerospace
