Sangram Patil

Employment

• Veermata Jijabai Technological Institute Post Doctoral Fellow
  2019 - Present
• Veermata Jijabai Technological Institute Senior Research Fellow
  2017 - 2019

Education

• Veermata Jijabai Technological Institute M-Tech Machine Design
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A bearing vibration data analysis based on spectral kurtosis and ConvNet
  Soft Computing 2019 DOI: 10.1007/s00500-018-3644-5
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• Analysis of facial EMG signal for emotion recognition using wavelet packet transform and SVM
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-0923-6_21
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• Fault detection of anti-friction bearing using AdaBoost decision tree
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1132-1_44
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• Remaining useful life (RUL) prediction of bearing by using regression model and principal component analysis (PCA) technique
  Vibroengineering Procedia 2019 DOI: 10.21595/vp.2019.20617
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• Design and prototype development of a reconfigurable wheelchair with stand-sit-sleep configurations
  ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 2018 DOI: 10.1115/IMECE201887905
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• Design, Modeling and Simulation of a Reconfigurable Wheelchair with Stand-sit-sleep Facilities
  IOP Conference Series: Materials Science and Engineering 2018 DOI: 10.1088/1757-899X/417/1/012042
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• Effect of speed on the performance characteristics of non-recessed worn hybrid conical journal bearing for different semi cone angles
  ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 2018 DOI: 10.1115/IMECE2018-87734
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• Fault detection of anti-friction bearing using ensemble machine learning methods
  International Journal of Engineering, Transactions B: Applications 2018 DOI: 10.5829/ije.2018.31.11b.22
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• Influence of operating parameters on unbalance in rotating machinery using response surface method
  Sound and Vibration 2018 DOI: 10.32604/sv.2018.03927
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• Remaining useful life (ruL) prediction of rolling element bearing using random forest and gradient boosting technique
  ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 2018 DOI: 10.1115/IMECE2018-87623
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