50 citations · 106 across the 11 of their papers we have counts for
3 papers · 1 filter
Data-Based Design of Multi-Model Inferential Sensors
Martin Mojto, Karol Lubušký, Miroslav Fikar +1
This paper deals with the problem of inferential (soft) sensor design. The nonlinear character of industrial processes is usually the main limitation to designing simple linear inf…
Design of Multi-model Linear Inferential Sensors with SVM-based Switching Logic
Martin Mojto, Miroslav Fikar, Radoslav Paulen
We study the problem of data-based design of multi-model linear inferential (soft) sensors. The multi-model linear inferential sensors promise increased prediction accuracy yet sim…
Data-based Design of Inferential Sensors for Petrochemical Industry
Martin Mojto, Karol Ľubušký, Miroslav Fikar +1
Inferential (or soft) sensors are used in industry to infer the values of imprecisely and rarely measured (or completely unmeasured) variables from variables measured online (e.g.,…