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Graphic Era University

India

3 papers here199 citations across 3
fields
  • eess.SP1
  • math.NA1
  • physics.med-ph1
ROR 03wqgqd89OpenAlex

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output
20152024
most citedAn Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis

130 citations

researchers with a paper here
  • A. Muruganantham1 · h 4
  • Ashish Rayal1
  • Bhagawati Prasad Joshi1
  • Delfim F. M. Torres1
  • D. Joshi1 · h 21
  • Govind Vashishtha1
  • J. Cabibihan1 · h 30
  • Mark Chan1 · h 1
  • Mukesh Pandey1
  • Munish Kumar Gupta1
  • Pradeep Kundu1
  • Radosław Zimroz1
collaborating institutions
  • AGH University of KrakowPL1 paper
  • gec-co Global Engineering & Consulting (Germany)DE1 paper
  • General Electric (United States)US1 paper
  • KU LeuvenBE1 paper
  • National University of SingaporeSG1 paper
  • Opole University of TechnologyPL1 paper
  • Qatar UniversityQA1 paper
  • Sant Longowal Institute of Engineering and TechnologyIN1 paper
  • University of AveiroPT1 paper
  • University of Petroleum and Energy StudiesIN1 paper
  • Uttaranchal UniversityIN1 paper
  • Wrocław University of Science and TechnologyPL1 paper
Showing eess.SPShow all

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eess.SP2024★ 130 cited

An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis

Sumika Chauhan, Govind Vashishtha, Rajesh Kumar +2

The vibration analysis of the bearing is very crucial because of its non-stationary nature and low signal-to-noise ratio. Therefore, a novel scheme for detecting bearing defects is…

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