Fault identification in a nonlinear rotating system using Dimensional Analysis (DA) and central composite rotatable design (CCRD)-Reference-Cited by-同舟云学术

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Fault identification in a nonlinear rotating system using Dimensional Analysis (DA) and central composite rotatable design (CCRD)

Published:2022-08 Issue: Volume:200 Page:111610
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Patil Sushant M.,Malagi R.R.,Desavale R.G.,Sawant Sanjay H.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference30 articles.

1. T.C. Gupta, K. Gupta, D.K. Sehgal, Nonlinear Dynamics and Chaos of an Unbalanced Flexible Rotor Supported by Deep Groove Ball Bearings with Radial Internal Clearance, in: Proceedings of ASME Turbo Expo 2008: Power for Land, Sea and Air 25, 2008, pp. 1–10.

2. Instability and Chaos of a Flexible Rotor Ball Bearing System: An Investigation on the Influence of Rotating Imbalance and Bearing Clearance;Gupta;J. Eng. Gas Turbines Power,2011

3. A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications;Lavanya;Measurement,2021

4. Certain Investigations on Energy-Efficient Fault Detection and Recovery Management in Underwater Wireless Sensor Networks;Prasanth;J. Circ., Syst. Comput.,2021

5. M.A. Vishwendra, P.S. Salunkhe, S.V. Patil, S.A. Shinde, P.V. Shinde, R.G. Desavale, P.M. Jadhav, N.V. Dharwadkar, A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm, in: ASME. ASME J. Risk Uncertainty Part B. September 2022; 8(3) (2022) 031202.

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