Author
Naresh Tandon
Other affiliations: Indian Institutes of Technology
Bio: Naresh Tandon is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Bearing (mechanical) & Vibration. The author has an hindex of 27, co-authored 72 publications receiving 3719 citations. Previous affiliations of Naresh Tandon include Indian Institutes of Technology.
Topics: Bearing (mechanical), Vibration, Acoustic emission, Grease, Lubrication
Papers published on a yearly basis
Papers
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TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
1,229 citations
TL;DR: In this paper, an analytical model has been proposed for predicting the vibration frequencies of rolling bearings and the amplitudes of significant frequency components due to a localized defect on outer race, inner race or on one of the rolling elements under radial and axial loads.
270 citations
TL;DR: In this paper, a 6-degree-of-freedom gear dynamic model including localized tooth defect has been developed, which consists of a spur gear pair, two shafts, two inertias representing load and prime mover and bearings.
185 citations
TL;DR: In this paper, a defect in the outer race of an induction motor ball bearing was detected by using vibration, stator current, acoustic emission and shock pulse (SPM) measurements at different loads.
175 citations
TL;DR: In this article, the usefulness of acoustic emission (AE) measurements for the detection of defects in roller bearings has been investigated, and the results showed that ringdown counts of AE signal is a very good parameter for detecting defects both in the inner race and roller of the bearings tested.
166 citations
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TL;DR: This paper attempts to survey and summarize the recent research and development of EMD in fault diagnosis of rotating machinery, providing comprehensive references for researchers concerning with this topic and helping them identify further research topics.
1,410 citations
TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
1,229 citations
TL;DR: A review of the state-of-the-art in the condition monitoring of wind turbines can be found in this article, which describes the different maintenance strategies, condition monitoring techniques and methods, and highlights in a table the various combinations of these that have been reported in the literature.
789 citations
TL;DR: It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one, however, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions.
729 citations
TL;DR: In this article, a mathematical analysis to select the most significant intrinsic mode functions (IMFs) is presented, and the chosen features are used to train an artificial neural network (ANN) to classify bearing defects.
594 citations