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2020 | OriginalPaper | Chapter

Quality Assessment Using Antipatterns in Machine Building and Operations

Authors : Andrzej Tuchołka, Maciej Majewski, Wojciech Kacalak, Zbigniew Budniak

Published in: Innovations Induced by Research in Technical Systems

Publisher: Springer International Publishing

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Abstract

Authors propose a method to classify the antipatterns, allowing their further definition for manual and automatic usage. We apply antipatterns in quality assessment as a negative quality reference. This enables counting and measuring similarity to predictable errors (antipatterns), automatic identification of erroneous structures found in mechanical designs, or anomalies in machine operations. We present approaches in which innovative use of antipatterns allows technical employees to improve their existing processes. In essence, we have found that antipatterns are useful in design, monitoring, and quality assurance of machine elements during their design, operations, and maintenance.

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next chapter Modelling of a Steel-Polymer Concrete Machine Tool Frame Component
Literature
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Tuchołka, A., Majewski, M., Kacalak, W., Budniak, Z.: A method for intelligent quality assessment of a gearbox using antipatterns and convolutional neural networks. In: Silhavy, R. (ed.) CSOC 2018. Advances in Intelligent Systems and Computing, vol. 764, pp. 57–68. Springer, Cham (2018)
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Tuchołka, A., Majewski, M., Kacalak, W., Budniak, Z.: Comparison of numerical models used for automated analysis of mechanical structures. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds.) CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol. 859, pp. 341–352. Springer, Cham (2019)
Metadata
Title
Quality Assessment Using Antipatterns in Machine Building and Operations
Authors
Andrzej Tuchołka
Maciej Majewski
Wojciech Kacalak
Zbigniew Budniak
Copyright Year
2020
Book
Innovations Induced by Research in Technical Systems

Print ISBN: 978-3-030-37565-2

Electronic ISBN: 978-3-030-37566-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-37566-9_1

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