Machine Learning-Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems

Gurpreet, Singh and Jothi Prabha, Appadurai and Varatharaju, Perumal and K, Kavita and T Ch Anil, Kumar and DVSSSV, Prasad and A Azhagu Jaisudhan, Pazhani and K, Umamaheswari (2022) Machine Learning-Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems. Advances in Materials Science and Engineering.

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Abstract

It is proved and examined in this research paper that the perturb and observe (P and O) technique for isolating the photovoltaic
array (PVA) from the power structure may be used to isolate the PV array from the power structure. A single specied voltage
setup can remove the maximum power from a PV cell because of the nonlinear properties of the PV cell’s output. As a result, in
PVA, the maximum power point tracking (MPPT) algorithm is utilized to increase the yield control range by increasing the
maximum power point. In this study, the MPPT computations are carried out with the assistance of a DC-DC boost converter for usage in applications needing high voltage gain at a variety of sun-positioned irradiances and cell temperatures, as demonstrated in the literature

Item Type: Article
Subjects: AC Rearch Cluster
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 13 Dec 2023 05:54
Last Modified: 13 Dec 2023 05:54
URI: https://ir.vignan.ac.in/id/eprint/507

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