Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Joanna Kossakowska"'
Publikováno v:
Energies, Vol 14, Iss 20, p 6489 (2021)
There are many items in the literature indicating that certain signal features (SFs) of cutting forces, vibrations or acoustic emission are useful for the diagnosis of tool wear in certain single experiments. There is no answer to whether these SFs a
Externí odkaz:
https://doaj.org/article/cfd155795749497cbd91d90d6dd3f3ac
Autor:
Sebastian Bombiński, Joanna Kossakowska, Mirosław Nejman, Rodolfo E. Haber, Fernando Castaño, Robert Fularski
Publikováno v:
Sensors, Vol 21, Iss 15, p 5086 (2021)
In this paper, we describe the needs and specific requirements of the aerospace industry in the field of metal machining; specifically, the concept of an edge-computing-based production supervision system for the aerospace industry using a tool and c
Externí odkaz:
https://doaj.org/article/7ea065e5c69d40c2a70a4735cff4f479
Autor:
Fernando Castaño, Stanisław Strzelczak, Alberto Villalonga, Rodolfo E. Haber, Joanna Kossakowska
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2252 (2019)
Nowadays, reliability of sensors is one of the most important challenges for widespread application of Internet-of-things data in key emerging fields such as the automotive and manufacturing sectors. This paper presents a brief review of the main res
Externí odkaz:
https://doaj.org/article/2a88b77d68514739915d661314b4ed81
Autor:
Wacek Pachla, Mariusz Przybysz, J. Skiba, Mariusz Kulczyk, Julita Smalc-Koziorowska, Joanna Kossakowska, S. Przybysz
Publikováno v:
Journal of Manufacturing Processes. 58:1232-1240
The purpose of the work was to investigate the impact of the severe plastic deformation (SPD) realized by hydrostatic extrusion (HE) process of AA5083 aluminium alloy on improving its machinability by turning. The article presents the results of meas
Autor:
Fernando Castaño, Sebastian Bombiński, Mirosław Nejman, Rodolfo E. Haber, Robert Fularski, Joanna Kossakowska
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5086, p 5086 (2021)
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5086, p 5086 (2021)
Sensors
Volume 21
Issue 15
In this paper, we describe the needs and specific requirements of the aerospace industry in the field of metal machining
specifically, the concept of an edge-computing-based production supervision system for the aerospace industry using a tool a
specifically, the concept of an edge-computing-based production supervision system for the aerospace industry using a tool a
Publikováno v:
Mechanical Systems and Signal Processing. 162:108021
There are many algorithms for the identification of gradual tool wear (GTW) which usually counts in minutes and the detection of catastrophic tool failure (CTF) which counts in milliseconds. However, the tool may lose its cutting ability by accelerat
Publikováno v:
Mechanik. 90:220-223
Presented is a comparison of different methods of estimating tool wear – obtained for group of RBF neural networks, hierarchical methods and the standard time counting. The analysis of the signals from the machining process carried out for three di
Autor:
Fernando Castaño, Gerardo Beruvides, Alberto Villalonga, Rodolfo E. Haber, Joanna Kossakowska, Stanisław Strzelczak
Publikováno v:
ICSTCC
23rd International Conference on System Theory, Control and Computing
2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)
23rd International Conference on System Theory, Control and Computing
2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)
One of the biggest challenges facing the factory of the future today is to reduce the time-to-market access and increase through the improvement of competitiveness and efficiency. In order to achieve this target, data analytics in Industrial Cyber-Ph
Autor:
Rodolfo E. Haber, Alberto Villalonga, Fernando Castaño, Joanna Kossakowska, Stanisław Strzelczak
Currently, the most important challenge in any assessment of state-of-the-art sensor technology and its reliability is to achieve road traffic safety targets. The research reported in this paper is focused on the design of a procedure for evaluating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1724d2695b47986d8334e26049e9fa93
https://doi.org/10.20944/preprints201907.0311.v1
https://doi.org/10.20944/preprints201907.0311.v1
Autor:
Stanisław Strzelczak, Rodolfo E. Haber, Alberto Villalonga, Joanna Kossakowska, Fernando Castaño
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Remote Sensing, ISSN 2072-4292, 2019-09, Vol. 11, No. 19
Archivo Digital UPM
Universidad Politécnica de Madrid
Remote Sensing, Vol 11, Iss 19, p 2252 (2019)
IEEE Transactions on Industrial Informatics
Remote Sensing
Volume 11
Issue 19
Pages: 2252
instname
Remote Sensing, ISSN 2072-4292, 2019-09, Vol. 11, No. 19
Archivo Digital UPM
Universidad Politécnica de Madrid
Remote Sensing, Vol 11, Iss 19, p 2252 (2019)
IEEE Transactions on Industrial Informatics
Remote Sensing
Volume 11
Issue 19
Pages: 2252
Nowadays, reliability of sensors is one of the most important challenges for widespread application of Internet-of-things data in key emerging fields such as the automotive and manufacturing sectors. This paper presents a brief review of the main res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a470d6006fd51705e09a5111b46e0c8d
https://www.mdpi.com/2072-4292/11/19/2252/htm
https://www.mdpi.com/2072-4292/11/19/2252/htm