Casestudie Breakdown prediction Contell PILOT - Transumo

This recognition of changes in behavior within the operating temperature interval is
currently impossible with all introduced monitoring products, so that this feature
would add a unique selling proposition. Because of the accurate results of these
methods and the argument of gaining a unified selling proposition, Contell/IKS is
interested in these methods.
The additional suggested idea to optimize the usage of cooling devices by comparing
the quantity of door openings to each other could not be tested on possible
improvements within this diploma thesis, due to missing testing possibilities. But this
method was also presented to Contell/IKS. The person in charge confirmed the
possibility of improvement. But the main focus of Contell/IKS will first of all lie in the
implementation of the introduced statistical methods to enable XiltriX to detect
changes in general behavior within normal operation.
Based on these facts, my recommendation is to implement the two statistical and the
data mining method, because all three offer great results. Moreover, the optimization
of the cooling device’s usage should be tested on applicability. But due to the
concerns of user misbehavior, Contell/IKS will not focus on the presented data
mining method.
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