A3 Book section, chapters in research books

Added value from virtual sensors


Open Access publication

Publication Details
Authors: Heikkinen Janne, Kurvinen Emil, Sopanen Jussi
Editors of book: Ukko, Juhani; Saunila, Minna; Heikkinen, Janne; Semken, R. Scott; Mikkola, Aki
Edition name or number: 1
Publishing place: London
Publication year: 2021
Language: English
Title of parent publication: Real-time Simulation for Sustainable Production : Enhancing User Experience and Creating Business Value
eISBN: 9781003054214
JUFO level of this publication: 3
Open Access: Open Access publication
Location of the parallel saved publication: http://urn.fi/URN:NBN:fi-fe2021060734330

Abstract

Developments in simulation
techniques and algorithms combined with increased computational capacity has made
it possible to simulate the dynamic behavior of complex machinery with a high
degree of accuracy even in real time. In this chapter, the concept of the virtual
sensor is explained: first on a general level, and then in more detail and by
introducing a few case studies deploying different simulation tools. Combining
actual measurements and the simulation model enables the use of simulation
methods to estimate the dynamic behaviors of a machine in situations where
measurements are not possible or economically feasible. There are two main categories
of virtual sensors. The first, suitable for low complexity cases, is based on
analytical models. The second is based on detailed numerical models. It is
suitable for more complex cases. Sensor measurement can be further divided into
online and offline measurements, the difference relating to measurement pace. From
the business perspective, the virtual sensor can potentially provide better
insight into a machine and its operation, and therefore bring added value that
original equipment manufacturers can offer to end users. Moreover, virtual
sensors can lead to a reduction in the number of physical sensors needed,
thereby reducing cost.


Last updated on 2021-16-06 at 07:31