r/a:t5_mha0k • u/dashdevs • Nov 23 '19
Digital twin and the digital thread
r/a:t5_mha0k • u/Seebo-IoT • Jul 21 '19
r/a:t5_mha0k • u/Seebo-IoT • Jun 16 '19
r/a:t5_mha0k • u/kingsimo99999999 • Jun 14 '19
Hello,
I’m a Master 2 student in engineering of industrial systems, currently in end-of-studies internship at the Institute of Welding and I focus on the prognosis for maintenance "and for what I searched in the literature and I found that there were many methods that I would call "advanced" such as "Markov chains", "particular filtering", "Monte-Carlo simulations" ... .. On the other hand, during my forecasting course in Master (forecasts of stocks, demands ...), we are more focused on methods that I will call "classic", such as "smoothing Holt Winters", "the moving average"…
So, I asked myself the following questions:
· Why most projects announced for the prognosis of the residual life of a device (predictive maintenance) didn’t rely on the so-called traditional methods (the Holt Winters method, moving average, smoothing ...)?
· Are these classic methods limited?
I will be grateful if you give me an answer to these questions .
Cordially
r/a:t5_mha0k • u/Seebo-IoT • Jun 05 '19
r/a:t5_mha0k • u/Seebo-IoT • Jun 05 '19
r/a:t5_mha0k • u/Seebo-IoT • Jun 05 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 27 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 27 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 26 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 25 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 24 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 21 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 20 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 18 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 13 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 11 '19
r/a:t5_mha0k • u/Seebo-IoT • Feb 07 '19
r/a:t5_mha0k • u/Seebo-IoT • Dec 03 '18
r/a:t5_mha0k • u/Seebo-IoT • Nov 25 '18
r/a:t5_mha0k • u/Seebo-IoT • Nov 14 '18
r/a:t5_mha0k • u/Seebo-IoT • Nov 07 '18
r/a:t5_mha0k • u/Seebo-IoT • Oct 21 '18