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Satish C. Sharma

Other affiliations: Indian Institutes of Technology
Bio: Satish C. Sharma is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Bearing (mechanical) & Reynolds equation. The author has an hindex of 30, co-authored 233 publications receiving 3639 citations. Previous affiliations of Satish C. Sharma include Indian Institutes of Technology.


Papers
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Journal ArticleDOI
15 Aug 1986-Wear
TL;DR: In this article, the effects of interaction between the three parameters, the deformation coefficient C d, Poisson's ratio v and the restrictor design parameter C s2 on the performance characteristics of the capillary-compensated flexible thrust pad bearings have been studied.

14 citations

Journal ArticleDOI
TL;DR: In this article, an Artificial Neural Network (ANN) based model has been developed for copper omega type mass flow sensor for phase shift prediction in which the significant phase shift parameter is modeled for various input factors like sensor location, drive frequency, mass flow rate and length of tube.

13 citations

Journal ArticleDOI
TL;DR: The present work evaluates the effect of sensor location, excitation frequency on the performance of Coriolis Mass Flow Sensor (CMFS) using central composite design of RSM.
Abstract: Response Surface Methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and outputs of a physical system by explicit functions. This methodology has been widely employed in many applications such as design optimization, response prediction and model validation. But so far the literature related to its application in Coriolis mass flow sensing is scarce. Therefore the present work evaluates the effect of sensor location, excitation frequency on the performance of Coriolis Mass Flow Sensor (CMFS). The experiments were performed in a systematic manner with three successive trials using the indigenously developed setup of CMFS. Central composite design of RSM was adopted for analyzing the results. A second order, non-linear mathematical model has been developed for establishing the relationship among design parameters. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models.

13 citations

Journal ArticleDOI
01 Nov 1983-Wear
TL;DR: In this paper, the effect of elastic deformation of the circular thrust pad was considered in determining the performance characteristics of a capillary compensated hydrostatic circular thrust bearing, and the matched solution of the elastohydrostatic problem was obtained by using the finite element method and an iterative procedure.

13 citations

Journal ArticleDOI
TL;DR: In this paper, a spherical thrust bearing system with a capillary restrictor lubricated with electro-rheological (ER) lubricant has been described, and the influence of axial eccentricity ratio and various value of imposed electric field on bearing performance has been investigated.

13 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper attempts to present a comprehensive review of AI algorithms in rotating machinery fault diagnosis, from both the views of theory background and industrial applications.

1,287 citations

Journal ArticleDOI
TL;DR: Current applications of wavelets in rotary machine fault diagnosis are summarized and some new research trends, including wavelet finite element method, dual-tree complex wavelet transform, wavelet function selection, newWavelet function design, and multi-wavelets that advance the development of wavelet-based fault diagnosed are discussed.

1,087 citations

Journal ArticleDOI
TL;DR: A feature learning model for condition monitoring based on convolutional neural networks is proposed to autonomously learn useful features for bearing fault detection from the data itself and significantly outperforms the classical feature-engineering based approach which uses manually engineered features and a random forest classifier.

871 citations

Journal ArticleDOI
TL;DR: This review covers advances in electrochemical and biochemical sensor development and usage during 2010 and 2011 and focuses on novel methods and materials, with a particular focus on the increasing use of graphene sheets for sensor material development.
Abstract: This review covers advances in electrochemical and biochemical sensor development and usage during 2010 and 2011 In choosing scholarly articles to contribute to this review, special emphasis was placed on work published in the areas of reference electrodes, potentiometric sensors, voltammetric sensors, amperometric sensors, biosensors, immunosensors, and mass sensors In the past two years there have been a number of important papers, that do not fall into the general subsections contained within the larger sections Such novel advances are very important for the field of electrochemical sensors as they open up new avenues and methods for future research Each section above contains a subsection titled “Other Papers of Interest” that includes such articles and describes their importance to the field in general For example, while most electrochemical techniques for sensing analytes of interest are based on the changes in potential or current, Shan et al1 have developed a completely novel method for performing electrochemical measurements In their work, they report a method for imaging local electrochemical current using the optical signal of the electrode surface generated from a surface plasmon resonance (SPR) The electrochemical current image is based on the fact that the current density can be easily calculated from the local SPR signal The authors demonstrated this concept by imaging traces of TNT on a fingerprint on a gold substrate Full articles and reviews were primarily amassed by searching the SciFinder Scholar and ISI Web of Knowledge Additional articles were found through alternate databases or by perusing analytical journals for pertinent publications Due to the reference limitation, only publications written in English were considered for inclusion Obviously, there have been more published accounts of groundbreaking work with electrochemical and biochemical sensors than those covered here This review is a small sampling of the available literature and not intended to cover every advance of the past two years The literature chosen focuses on new trends in materials, techniques, and clinically relevant applications of novel sensors To ensure proper coverage of these trends, theoretical publications and applications of previously reported sensor development were excluded We want to remind our readers that this review is not intended to provide comprehensive coverage of electrochemical sensor development, but rather to provide a glimpse of the available depth of knowledge published in the past two years This review is meant to focus on novel methods and materials, with a particular focus on the increasing use of graphene sheets for sensor material development For readers seeking more information on the general principles behind electrochemical sensors and electrochemical methods, we recommend other sources with a broader scope2, 3 Electrochemical sensor research is continually providing new insights into a variety of fields and providing a breadth of relevant literature that is worthy of inclusion in this review Unfortunately, it is impossible to cover each publication and unintentional oversights are inevitable We sincerely apologize to the authors of electrochemical and biochemical sensor publications that were inadvertently overlooked

727 citations