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Publications


 

November 2019,
IntechOpen, November 27th 2019

Uncertainty in Measurement, Carlo Ferri

Abstract: Measurements of physical quantities are the corner stone upon which we humans have built the scientific perception of the world. Measurements are the distinctive means to tell the scientific truth apart from any other approach to knowledge. The fundamental concepts of measurement and uncertainty in measurement have been analysed with reference to authoritative documents produced by the International Bureau of Weights and Measures (BIPM). The need for the introduction of the concept of uncertainty and its theoretical implications are analysed. The practical consequences in the development of industrial products have been illustrated for a specific measurement in proton exchange-membrane fuel cell assembly. A short critical analysis of the relationship between the evaluation of uncertainty in measurement and intelligent systems led then to a few open questions.
DOI: 10.5772/intechopen.89568 - OPEN ACCESS
 

August 2019,
2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

Automatic PLC Code Generation Based on Virtual Engineering Model, Mohammad Jbair ; Bilal Ahmad ; Mus’ab H. Ahmad ; Daniel Vera ; Robert Harrison Tony Ridler

Abstract: Today's automotive firms, regardless the systems they use (e.g. mass production, mass customisation, just-in-time, etc.) face common challenges that can result in sudden and frequent disruptions across the supply chain. Manufacturing systems should rapidly respond to these disruptions. This can be made possible by introducing new smart engineering methods and technologies to enable realisation of high level of reconfigurable and dynamic manufacturing processes to improve the overall performance of manufacturing plants. This paper investigates a methodology to develop a digital model for a fuel-cell assembly system and then utilises the developed model to automatically generate machine's Programmable Logic Controller (PLC) code, connectivity, and process data records. These automatically generated parts can then be used in order to create a Cyber Physical System (CPS). The aim of this paper is to demonstrate the automatic generation of the control code and structure it in order to be effectively and efficiently used in industrial applications. The on-going DIGIMAN project, which aims to deliver a proof of process fuel-cell assembly system for the automotive industry, is being used as a proof of concept to validate the proposed methodology and framework.
DOI: 10.1109/ICPHYS.2019.8780213
 
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