World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5808
World Ranking
12986
National Ranking
147

Overview

K. I. Ramachandran is affiliated with Amrita Vishwa Vidyapeetham University in India and has contributed extensively to the fields of Engineering and Computer Science, with a particular focus on several subfields including Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence, and Signal Processing.

The scientist's research encompasses several key topics, notably:

  • Machine Fault Diagnosis Techniques
  • EEG and Brain-Computer Interfaces
  • Advanced machining processes and optimization
  • Gear and Bearing Dynamics Analysis
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Fault Detection and Control Systems

K. I. Ramachandran has published multiple papers in well-known scholarly venues. Frequent publication venues include:

  • International Journal of Prognostics and Health Management
  • SSRN Electronic Journal
  • International Journal of Electronics and Telecommunications
  • Data in Brief
  • Iranian Polymer Journal

Representative recent papers include:

  • "Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers" (2020), published in International Journal of Prognostics and Health Management
  • "Comparison of Vibration, Sound and Motor Current Signature Analysis for Detection of Gear Box Faults" (2020), published in International Journal of Prognostics and Health Management
  • "Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search" (2021), published in International Journal of Electronics and Telecommunications
  • "Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator" (2020), published in International Journal of Prognostics and Health Management
  • "Experimental, analytical and finite element studies on nano(MWCNT) and hybrid (MWCNT/glass fiber) filler reinforced polypropylene composites" (2020), published in Iranian Polymer Journal

The scientist collaborates frequently with the following coauthors:

  • C. Santhosh Kumar
  • S. Adarsh
  • C B Rajesh
  • Sudhanshu S. Jha
  • Rama Rao Nidamanuri

K. I. Ramachandran's work is positioned at the intersection of engineering and computer science, integrating approaches from artificial intelligence and signal processing to address complex problems in fault diagnosis, control systems, and remote sensing. Their research output reflects a multidisciplinary approach to subjects ranging from mechanical and electrical engineering systems to biomedical signal analysis.

Best Publications

  • Insight into Wavelets: From Theory to Practice

    K P Soman;K. I. Ramachandran

  • Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing

    V. Sugumaran;V. Muralidharan;K.I. Ramachandran

  • Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)

    N. Saravanan;K. I. Ramachandran

  • Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

    M. Saimurugan;K. I. Ramachandran;V. Sugumaran;N. R. Sakthivel

  • Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)

    N. Saravanan;V.N.S. Kumar Siddabattuni;K. I. Ramachandran

  • Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing

    V. Sugumaran;K.I. Ramachandran

  • A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box

    N. Saravanan;V. N. S. Kumar Siddabattuni;K. I. Ramachandran

  • Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique

    N. Saravanan;S. Cholairajan;K. I. Ramachandran

  • Effect of number of features on classification of roller bearing faults using SVM and PSVM

    V. Sugumaran;K. I. Ramachandran

  • A novel heart sound activity detection framework for automated heart sound analysis

    V. Nivitha Varghees;K.I. Ramachandran

  • Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine

    V. Sugumaran;G. R. Sabareesh;K. I. Ramachandran

  • Machine learning approach for automated visual inspection of machine components

    S. Ravikumar;K. I. Ramachandran;V. Sugumaran

  • Effective Heart Sound Segmentation and Murmur Classification Using Empirical Wavelet Transform and Instantaneous Phase for Electronic Stethoscope

    V. Nivitha Varghees;K. I. Ramachandran

  • Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

    T. Praveenkumar;M. Saimurugan;P. Krishnakumar;K.I. Ramachandran

  • Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm

    M. Elangovan;S. Babu Devasenapati;N. R. Sakthivel;K. I. Ramachandran

  • Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification

    N. Saravanan;K. I. Ramachandran

  • Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications

    S Adarsh;S Mohamed Kaleemuddin;Dinesh Bose;K I Ramachandran

  • Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features

    M. Elangovan;K. I. Ramachandran;V. Sugumaran

  • Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning

    V. Sugumaran;K.I. Ramachandran

  • Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool

    M. Elangovan;V. Sugumaran;K. I. Ramachandran;S. Ravikumar

Frequent Co-Authors

Ashish Sharma
Ashish Sharma University of New South Wales
Ajith Abraham
Ajith Abraham Sai University
K. P. Soman
K. P. Soman Amrita Vishwa Vidyapeetham University

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