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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Predictive Model for Vibrations Induced at the Bearings of Spinning Charkha
verfasst von : Shilpa P. Bhorkar, V. N. Bhaiswar, J. P. Modak, G. D. Mehata
Erschienen in: Smart Technologies for Energy, Environment and Sustainable Development
Verlag: Springer Singapore
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Abstract
This paper presents the mathematical modeling for vibrations induced at the bearings of spinning charkha. Vibrations may generate due to various causes. These generated vibrations may lead to damage of the yarn, the quality of yarn, it may also affect on the consumption of energy as far as charkha is concerned. So it is very important to analyze or to predict the vibration induced in any machine before breakdown occurs. It helps to optimize the parameters given above. In order to achieve all these, firstly causes of vibration have been found out which is based on the machine structure and various factors. Vibration analysis is the only perfect way to detect or predict or to find out the faults in any machine. Likewise here vibration spectrums have been taken on various bearing locations of charkha, by using FFT analyzer, and model formation has been carried out. Here in this paper, field database mathematical modeling has been used by using one of the tools that is multiple linear regression analysis.