Decision support system for load cell selection

Abstract

Loadcell is a transducer that converts force into an electrical signal, used in diverse industrial applications. Selecting a proper Loadcell is a key success point of a weighing application. The Loadcell selection process requires expert knowledge. Usually, the customer support team of the manufacturer shares expertise knowledge with the customer. Automation of the customer support process can be done using data mining techniques. Previous customer support records can be utilized for this process and the Naïve Bayes theory guides this automation process. The predictions can be used to determine important relationships which help to make critical decisions.