ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION  IN PRODUCTION PROCESS CONTROL SYSTEMS

Tomasz Rymarczyk; Bartek Przysucha; Marcin Kowalski; Piotr Bednarczuk

doi:10.35784/iapgos.570

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Published: Dec 15, 2019

DOI: https://doi.org/10.35784/iapgos.570

Issue Vol. 9 No. 4 (2019)

Articles

CONCEPT OF A SELF-LEARNING WORKPLACE CELL FOR WORKER ASSISTANCE WHILE COLLABORATION WITH A ROBOT WITHIN THE SELF-ADAPTING-PRODUCTION-PLANNING-SYSTEM
Johanna Ender, Jan Cetric Wagner, Georg Kunert, Fang Bin Guo, Roland Larek, Thorsten Pawletta

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DATA-BASED PREDICTION OF SOOT EMISSIONS FOR TRANSIENT ENGINE OPERATION
Michele Schaub

10-13
APPLICATION OF THE LENNARD-JONES POTENTIAL IN MODELLING ROBOT MOTION
Piotr Wójcicki, Tomasz Zientarski

14-17
APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS
Artur Popko, Konrad Gauda

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APPLICATION OF OPTICAL PROFILOMETRY IN THE ANALYSIS OF THE DESTRUCTION PROCESS OF RENOVATION ORGANIC COATINGS FOR THE AUTOMOTIVE INDUSTRY
Konrad Gauda, Kamil Pasierbiewicz

22-25
ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION IN PRODUCTION PROCESS CONTROL SYSTEMS
Tomasz Rymarczyk, Bartek Przysucha, Marcin Kowalski, Piotr Bednarczuk

26-29
MEASUREMENT OF TWO-PHASE GAS-LIQUID FLOW USING STANDARD AND SLOTTED ORIFICE
Barbara Tomaszewska-Wach, Mariusz R. Rząsa, Marcin Majer

30-33
DETERMINATION OF YOUNG’S DYNAMIC MODULUS OF POLYMER MATERIALS BY RESONANCE VIBRATING-REED METHOD
Volodymyr Mashchenko, Valentine Krivtsov, Volodymyr Kvasnikov, Volodymyr Drevetskiy

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DETERMINATION OF THE OPTIMAL SCANNING STEP FOR EVALUATION OF IMAGE RECONSTRUCTION QUALITY IN MAGNETOACOUSTIC TOMOGRAPHY WITH MAGNETIC INDUCTION
Adam Ryszard Zywica, Marcin Ziolkowski

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CONSTRUCTION OF AN ULTRASONIC TOMOGRAPH FOR ANALYSIS OF TECHNOLOGICAL PROCESSES IN THE FIELD OF REFLECTION AND TRANSMISSION WAVES
Tomasz Rymarczyk, Michał Gołąbek, Piotr Lesiak, Andrzej Marciniak, Mirosław Guzik

43-47
A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY
Tomasz Rymarczyk, Krzysztof Polakowski, Jan Sikora

48-51
EVALUATION OF THE ELECTRICAL CAPACITANCE TOMOGRAPHY SYSTEM FOR MEASUREMENT USING 3D SENSOR
Jacek Kryszyn, Damian Wanta, Waldemar T. Smolik

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USING 3D PRINTING TECHNOLOGY TO FULL-SCALE SIMULATION OF THE UPPER RESPIRATORY TRACT
Oleg Avrunin, Yana Nosova, Ibrahim Younouss Abdelhamid, Oleksandr Gryshkov, Birgit Glasmacher

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CONCEPT AND REALIZATION OF BACKPACK-TYPE SYSTEM FOR MULTICHANNEL ELECTROPHYSIOLOGY IN FREELY BEHAVING RODENTS
Olga Chaikovska, Oleksandr Ponomarenko, Olexandr Dovgan, Igor Rokunets, Sergii Pavlov, Olena Kryvoviaz, Oleg Vlasenko

64-68
ATRIAL FIBRILLATION DETECTION ON ELECTROCARDIOGRAMS WITH CONVOLUTIONAL NEURAL NETWORKS
Viktor Kifer, Natalia Zagorodna, Olena Hevko

69-73
THE CONCEPT OF A FLYING ELECTROMAGNETIC FIELD MEASURING PLATFORM
Sławomir Szymaniec, Sławomir Szymocha, Łukasz Miszuda

74-77
LOW COST SOLAR THERMOELECTRIC WATER FLOATING DEVICE TO SUPPLY MEASUREMENT PLATFORM
Andrzej Nowrot, Monika Mikołajczyk, Anna Manowska, Joachim Pielot, Antoni Wojaczek

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IMPROVING THE DYNAMICS OF AN INVERTER-BASED PV GENERATOR DURING LOAD DUMPS
Łukasz Kwaśny

83-86
MEASUREMENT SYSTEMS FOR THE ENERGY PRODUCED BY THE PHOTOVOLTAIC SYSTEM AND CONSUMED BY THE BUILDING OF THE LUBLIN SCIENCE AND TECHNOLOGY PARK
Arkadiusz Małek

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DESIGN, CONSTRUCTION AND AUTOMATIC CONTROL SYSTEM OF SINGLE-STAGE SIX-BED ADSORPTION HEAT PUMP
Katarzyna Zwarycz-Makles, Sławomir Jaszczak

93-98

DOI

https://doi.org/10.35784/iapgos.570

Authors

Tomasz Rymarczyk

tomasz@rymarczyk.com

1. Research & Development Centre Netrix SA; 2. University of Economics and Innovation in Lublin, Poland

http://orcid.org/0000-0002-3524-9151

Bartek Przysucha

b.przysucha@pollub.pl

Lublin University of Technology, Poland

http://orcid.org/0000-0002-1117-8088

Marcin Kowalski

marcin.kowalski@wsei.lublin.pl

University of Economics and Innovation in Lublin, Poland

https://orcid.org/0000-0002-1644-0612

Piotr Bednarczuk

Piotr.Bednarczuk@wsei.lublin.pl

University of Economics and Innovation in Lublin, Poland

https://orcid.org/0000-0003-1933-7183

Abstract

The article presents a solution based on a cyber-physical system in which data collected from measuring sensors was analysed for prediction in the production process control system. The presented technology was based on intelligent sensors as part of the solution for Industry 4.0. The main purpose of the work is to reduce data and select the appropriate covariate to optimise modelling of defects using the Cox model for a specific mechanical system. The reliability of machines and devices in the production process is a condition for ensuring continuity of production. Predicting damage, especially its movement, gives the ability to monitor the current state of the machine. In a broader perspective, this enables streamlining the production process, service planning or control. This ensures production continuity and optimal performance. The presented model is a regressive survival analysis model that allows you to calculate the probability of failure occurring over a given period of time.

Keywords:

Cox Model, Time to Failure Prediction, Production Control, Intelligent Platform

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Rymarczyk, T., Przysucha, B., Kowalski, M., & Bednarczuk, P. (2019). ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION IN PRODUCTION PROCESS CONTROL SYSTEMS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(4), 26–29. https://doi.org/10.35784/iapgos.570

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