V
Vikas M. Phalle
Researcher at Veermata Jijabai Technological Institute
Publications - 55
Citations - 465
Vikas M. Phalle is an academic researcher from Veermata Jijabai Technological Institute. The author has contributed to research in topics: Bearing (mechanical) & Conical surface. The author has an hindex of 9, co-authored 50 publications receiving 331 citations. Previous affiliations of Vikas M. Phalle include Indian Institute of Technology Roorkee.
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Influence of wear on the performance of a 2-lobe multirecess hybrid journal bearing system compensated with membrane restrictor
TL;DR: In this paper, an analytical study concerning the influence of wear on the performance of a membrane compensated 2-lobe four pocket hybrid journal bearing system has been presented, where the modified Reynolds equation governing the flow of lubricant in the clearance space of a journal bearing was solved using FEM and Newton-Raphson method.
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Performance analysis of a multirecess capillary compensated conical hydrostatic journal bearing
TL;DR: In this article, the performance of a 4-pocket hydrostatic conical journal bearing system was studied theoretically and numerically simulated results indicated that the lubricant flow rate is significantly reduced in case of conical bearing vis a vis the corresponding similar circular hydrostatic journal bearing.
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Characterizing domestic electricity consumption in the Indian urban household sector
TL;DR: In this paper, the authors have analyzed the variation in the electricity consumption and the factors such as demographic and dwelling attributes which cause such variations, and found that electricity consumption in the Indian urban household is more responsive to ownership of air conditioner rather than demographic variables and other appliances.
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Influence of wear on the performance of a multirecess conical hybrid journal bearing compensated with orifice restrictor
TL;DR: In this article, an analytical study concerning the influence of wear on the performance of a four pocket hybrid conical journal bearing compensated with an orifice restrictor has been presented, where the Reynolds equation governing the flow of lubricant in the clearance space of bearing has been solved using FEM and the Newton Raphson method.
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A bearing vibration data analysis based on spectral kurtosis and ConvNet
TL;DR: In this article, a fault classification method based on kurtogram and convolutional neural network (CNN) is proposed for rotating machine bearing failure detection, which is a measure of dispersion for time-frequency energy density which provides additional frequency contents information.