Zobrazeno 1 - 10
of 1 504
pro vyhledávání: '"Glowacz A"'
Autor:
Glowacz Adam, Glowacz Witold, Kozik Jarosław, Piech Krzysztof, Gutten Miroslav, Caesarendra Wahyu, Liu Hui, Brumercik Frantisek, Irfan Muhammad, Faizal Khan Z.
Publikováno v:
Measurement Science Review, Vol 19, Iss 6, Pp 241-249 (2019)
Nowadays detection of deterioration of electrical motors is an important topic of research. Vibration signals often carry diagnostic information of a motor. The authors proposed a setup for the analysis of vibration signals of three-phase induction m
Externí odkaz:
https://doaj.org/article/c764a6b08ceb41ee9bc06a5de80f39c0
Autor:
Glowacz A., Glowacz W., Glowacz Z., Kozik J., Gutten M., Korenciak D., Khan Z. F., Irfan M., Carletti E.
Publikováno v:
Archives of Metallurgy and Materials, Vol 62, Iss 4, Pp 2413-2419 (2017)
A degradation of metallurgical equipment is normal process depended on time. Some factors such as: operation process, friction, high temperature can accelerate the degradation process of metallurgical equipment. In this paper the authors analyzed thr
Externí odkaz:
https://doaj.org/article/194fc1aeaff445b19e020e59055f98d3
Autor:
Gutten Miroslav, Korenciak Daniel, Kucera Matej, Janura Richard, Glowacz Adam, Kantoch Eliasz
Publikováno v:
Measurement Science Review, Vol 18, Iss 4, Pp 162-167 (2018)
The authors describe experimental and theoretical analyses of faults of power transformer winding. Faults were caused by mechanical effect of short-circuit currents. Measurements of transformer were carried out in high-voltage laboratory. Frequency a
Externí odkaz:
https://doaj.org/article/512cdafde72e4b248622cc0fe40c55b3
Autor:
Glowacz Adam
Publikováno v:
Archives of Electrical Engineering, Vol 65, Iss 4, Pp 733-744 (2016)
An early fault diagnostic method of Direct Current motors was presented in this article. The proposed method used acoustic signals of a motor. A method of feature extraction called MSAF-RATIO30-EXPANDED (method of selection of amplitudes of frequenci
Externí odkaz:
https://doaj.org/article/c8505c67727e4570aa9291240acddebd
Publikováno v:
Measurement Science Review, Vol 15, Iss 3, Pp 119-126 (2015)
Infrared thermography can measure the temperature of a surface remotely. In this article authors present a diagnostic method of incipient fault detection. The proposed approach is based on pattern recognition. It uses monochrome thermal images of the
Externí odkaz:
https://doaj.org/article/eedc476a54c249cbaf62958e645a7288
Autor:
Glowacz A., Glowacz Z.
Publikováno v:
Archives of Metallurgy and Materials, Vol 60, Iss 1, Pp 27-32 (2015)
Thermography is a technology that enables recognition of objects in the specific area. The goal of using thermographic techniques for ironworks is to diagnose electrical equipment. These techniques can be also use to increase safety and quality contr
Externí odkaz:
https://doaj.org/article/f9cc2b8e8c9242299d83db4997e2f678
Autor:
Glowacz A.
Publikováno v:
Archives of Metallurgy and Materials, Vol 61, Iss 1, Pp 153-158 (2016)
Condition monitoring of deterioration in the metallurgical equipment is essential for faultless operation of the metallurgical processes. These processes use various metallurgical equipment, such as induction motors or industrial furnaces. These devi
Externí odkaz:
https://doaj.org/article/558ad377e1b247629483c49fdae33094
Autor:
Glowacz Adam
Publikováno v:
Measurement Science Review, Vol 15, Iss 4, Pp 167-175 (2015)
This paper proposes an approach based on acoustic signals for detecting faults appearing in synchronous motors. Acoustic signals of a machine were used for fault detection. These faults contained: broken coils and shorted stator coils. Acoustic signa
Externí odkaz:
https://doaj.org/article/e416894e3b8d4b52b0c720df1a10086b
Autor:
Glowacz A.
Publikováno v:
Measurement Science Review, Vol 14, Iss 5, Pp 257-262 (2014)
In this paper, a non-invasive method of early fault diagnostics of electric motors was proposed. This method uses acoustic signals generated by electric motors. Essential features were extracted from acoustic signals of motors. A plan of study of aco
Externí odkaz:
https://doaj.org/article/eb4a9dc25b5040c5a7ca06cebb4cf578
Autor:
Ren, Zhijun, Huang, Kai, Zhu, Yongsheng, Feng, Ke, Liu, Zheng, Fu, Hong, Hong, Jun, Glowacz, Adam
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part E