Sakthivel N R

About

N.R. Sakthivel obtained his BE in Mechanical Engineering from the Institute of Road and Transport Technology under Barathiyar University,, India and his ME in Engineering Design from Kongu Engineering College, under Barathiyar University, Perundurai, Erode, India . Completed his PhD in Machine condition monitoring and fault diagnosis in the year 2013 at Karpagam academy of higher education. He is a university rank holder in ME. He has published twenty one papers in peer reviewed international journals and twelve international conference papers. Currently, he is working as an Associate Professor in the Department of Mechanical Engineering at Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore.

Employment

• Amrita Vishwa Vidyapeetham Amrita School of Engineering Associate Professor
  2021 - Present

Education

• Karpagam Academy of Higher Education Ph.D
  2009 - 2013
• Kongu Engineering College Master of Engineering
  1998 - 1999
• Institute of Road and Transport Technology Bachelor of Engineering
  1994 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation
  Informatics 2025 DOI: 10.3390/informatics12010025
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• Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2024.109022
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• Can pretrained networks be used in fault diagnosis of monoblock centrifugal pump?
  Part E: Journal of Process Mechanical Engineering 2023 DOI: 10.1177/09544089231207476
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• Deep Learning for Enhanced Fault Diagnosis of Monoblock Centrifugal Pumps: Spectrogram-Based Analysis
  Machines 2023 DOI: 10.3390/machines11090874
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• A Deep Learning-Based Upper Limb Rehabilitation Exercise Status Identification System
  Arabian Journal for Science and Engineering 2023 DOI: 10.1007/s13369-022-06702-y
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• An Upper Limb Rehabilitation Exercise Status Identification System Based on Machine Learning and IoT
  Arabian Journal for Science and Engineering 2022 DOI: 10.1007/s13369-021-06152-y
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• Machine Learning Approach to Condition Monitoring of an Automotive Radiator Cooling Fan System
  2020 DOI: 10.1007/978-981-15-5558-9_85
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• Clustering stock price time series data to generate stock trading recommendations: An empirical study
  Expert Systems with Applications 2017 DOI: 10.1016/j.eswa.2016.11.002
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• Effect of kernel function in support vector machine for the fault diagnosis of pump
  Journal of Engineering Science and Technology 2016
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• Machine learning approach to the prediction of surface roughness using statistical features of vibration signal acquired in turning
  Procedia Computer Science 2015 DOI: 10.1016/j.procs.2015.04.047
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