Pratesh Jayaswal

Employment

• Madhav Institute of Technology and Science Professor
  2003 - Present

Education

• Madhav Institute of Technology and Science Ph.D.
  2006 - 2011
• Shri Govindram Seksaria Institute of Technology and Science ME
  2001 - 2002
• Madhav Institute of Technology and Science BE
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (85)

• Time Domain and Envelope Fault Diagnosis of Rolling Element Bearing
  2023 DOI: 10.1007/978-3-031-31164-2_10
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• Rolling Element Bearing Fault Diagnosis Using a Kurtogram and Spectral Kurtosis Analysis
  2023 DOI: 10.1007/978-981-99-1431-9_50
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• A Review of Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearing Using Advanced Approaches and Vibration Signature Analysis
  Lecture Notes in Mechanical Engineering 2020 DOI: 10.1007/978-981-15-3746-2_19
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• Diagnosis and Classifications of Bearing Faults Using Artificial Neural Network and Support Vector Machine
  Journal of The Institution of Engineers (India): Series C 2020 DOI: 10.1007/s40032-019-00519-9
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• Selection of best classification algorithm for fault diagnosis of bearing using vibration signature analysis
  International Journal of Innovative Technology and Exploring Engineering 2019
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• EFFECTS OF ARTIFICIAL NEURAL NETWORK PARAMETERS ON ROLLING ELEMENT BEARING FAULT DIAGNOSIS
  INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR) 2016
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• EFFECTS OF ARTIFICIAL NEURAL NETWORK PARAMETERS ON ROLLING ELEMENT BEARING FAULT DIAGNOSIS
  Futuristic Trends in Engineering, Science, Humanities, and Technology FTESHT-16 2016
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• EFFECTS OF ARTIFICIAL NEURAL NETWORK PARAMETERS ON ROLLING ELEMENT BEARING FAULT DIAGNOSIS
  INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR) 2016
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• EFFECTS OF ARTIFICIAL NEURAL NETWORK PARAMETERS ON ROLLING ELEMENT BEARING FAULT DIAGNOSIS
  Futuristic Trends in Engineering, Science, Humanities, and Technology FTESHT-16 2016
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• Fault diagnosis of rolling element bearing based on vibration & current signatures: An optimal network parameter selection
  Electrical, Electronics, and Optimization Techniques (ICEEOT), International Conference on 2016
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