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BIOLOGICAL SAFETY OF COWS' MILK UNDER THE CONDITIONS OF TECHNOGENIC AGRICULTURAL ECOSPHERE WHEN USING BIOLOGICALLY ACTIVE SUBSTANCES |
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| รหัสดีโอไอ | |
| Creator | Irina Donnik |
| Title | BIOLOGICAL SAFETY OF COWS' MILK UNDER THE CONDITIONS OF TECHNOGENIC AGRICULTURAL ECOSPHERE WHEN USING BIOLOGICALLY ACTIVE SUBSTANCES |
| Contributor | Olga Bykova, Anna Krivonogova, Albina Isaeva, Olga Loretts, Anna Baranova, Nina Musikhina, Anastasia Romanova |
| Publisher | TUENGR Group |
| Publication Year | 2562 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 10 |
| Journal No. | 2 |
| Page no. | 203-209 |
| Keyword | technogenic agricultural pollution, diary produce, chemical substances, biologically active substances, biological safety, Heavy metal. |
| URL Website | http://tuengr.com |
| Website title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| ISSN | 2228-9860 |
| Abstract | The important issue in gear fault diagnosis is to extract the dependable fault characteristics from the vibration signal of gearbox. Empirical mode decomposition (EMD) is a substantial time-frequency tool for adaptively decomposing vibration signals into a collection of intrinsic mode functions (IMFs); a fault feature can be extracted from one of IMFs to determine the fault location and fault level of a gear or bearing in the mechanical drive system. In this paper, a multi-harmonic vibration model of a gearbox with fault modulation is presented, a conventional demodulation analysis using Hilbert transform is introduced, and the EMD is illustrated. The EMD are applied to processing field vibration signals collected from a gearbox to detect a gear fault. The results show that EMD can extract the fault modulation information. |
