Pavan Kumar Kankar

Control and Systems Engineering · 2004–2018

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 19 citations into it; #4,605 of 8,257 by trust here, #2,890 by citations
• Mechanical Engineering — 16 citations into it; #3,761 of 8,300 by trust here, #4,096 by citations
• Analytical Chemistry — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Pavan Kumar Kankar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Simon S. Haykin
2. Biswanath Samanta
3. J. Zurada
4. Nello Cristianini
5. John Shawe-Taylor
6. Suraj Prakash Harsha
7. Yuhai Wu
8. Richard G. Brereton
9. Achmad Widodo

Who trusts Pavan Kumar Kankar overall

1. Dhiraj Neupane
2. Wu Deng
3. Vinay Vakharia
4. Jong-Hoon Seok

Papers from Pavan Kumar Kankar's perspective

Ordered by how strongly the researchers Pavan Kumar Kankar trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
2. Statistical Learning Theory
3. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
4. Permutation entropy: a natural complexity measure for time series. (Physical Review Letters)
5. Support vector machine in machine condition monitoring and fault diagnosis
6. Support vector machines for classification and regression. (In Analysis)
7. Introduction to artificial neural systems
8. The WEKA data mining software: an update
9. Rolling element bearing fault diagnosis using autocorrelation and continuous wavelet transform
10. Fault diagnosis of ball bearings using continuous wavelet transform (Applied Soft Computing)

Their papers

• Crack growth modeling in spur gear tooth and its effect on mesh stiffness using extended finite element method (2018) — 66 citations
• Efficient fault diagnosis of ball bearing using ReliefF and Random Forest classifier (2017) — 64 citations
• A multiscale permutation entropy based approach to select wavelet for fault diagnosis of ball bearings (2015) — 117 citations
• Fault diagnosis of ball bearings using machine learning methods (2011) — 474 citations
• Fault diagnosis of ball bearings using continuous wavelet transform (2011) — 313 citations
• Fault diagnosis of a rotor bearing system using response surface method (2009) — 51 citations
• Stability analysis of a rotor bearing system due to surface waviness and number of balls (2004) — 126 citations