Magnetic Field Image - Source of Information for Action Causality Description

• Published in: 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI) pp. 101 - 106
• Main Authors: Oravec, Milan, Pacaiova, Hana, Izarikova, Gabriela, Hovanec, Michal
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-01-2019
• Subjects: Amorphous magnetic materials; amplitude spectrum; magnetic field; magnetic field image; Magnetic field measurement; Magnetic fields; Magnetic recording; Magnetic resonance imaging; Magnetometers; process causality; statistic tools; Turbines
• DOI: 10.1109/SAMI.2019.8782747

Technical equipment (machines) create electromagnetic field (EMF) by its activity. Such field may be used for identification of problems by using of the principle of causality. Magnetic field image, presented by movement of a resulting vector of magnetic induction B, in a specific time interval and space, represents state of equipment, of a process. Magnetic field image contains the information that may be interpreted in time domain as well as frequency domain. The frequency domain may be interpreted by means of amplitude and phase spectrums. The time domain may be interpreted by means of statistic tools. Verification of the suggested process of experimental measurement was performed on water Kaplan turbine with a power of 0,4 MW. It was found out that the magnetic field image of turbine contains information about both mechanic as well as electrical elements of the system, about their behaviour (state), which may be used for identification of causes of possible problems.