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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
38
Citations
5301
World Ranking
2285
National Ranking
59

Overview

Rajiv Tiwari is affiliated with the Indian Institute of Technology Guwahati in India, with a focus on engineering research, primarily within mechanical engineering and related subfields.

Their research contributions span several key subfields of engineering, including:

  • Mechanical Engineering
  • Control and Systems Engineering
  • Mechanics of Materials
  • Civil and Structural Engineering
  • Industrial and Manufacturing Engineering

Rajiv Tiwari's work addresses topics in engineering with emphasis on:

  • Tribology and Lubrication Engineering
  • Magnetic Bearings and Levitation Dynamics
  • Gear and Bearing Dynamics Analysis
  • Machine Fault Diagnosis Techniques
  • Mechanical Engineering and Vibrations Research
  • Advanced Machining Processes and Optimization
  • Structural Health Monitoring Techniques

Research has been published in a range of journals and venues, with frequent contributions to:

  • Mechanical Systems and Signal Processing
  • Journal of Vibration Engineering & Technologies
  • Propulsion and Power Research
  • Sadhana
  • Journal of Dynamics Monitoring and Diagnostics

Selected recent papers authored or coauthored by Rajiv Tiwari include:

  • Blockage and cavitation detection in centrifugal pumps from dynamic pressure signal using deep learning algorithm, 2020, Measurement
  • Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review, 2020, Mechanical Systems and Signal Processing
  • Finite element modelling, analysis and identification using novel trial misalignment approach in an unbalanced and misaligned flexible rotor system levitated by active magnetic bearings, 2020, Mechanical Systems and Signal Processing
  • On-site high-speed balancing of flexible rotor-bearing system using virtual trial unbalances at slow run, 2020, International Journal of Mechanical Sciences
  • Dynamic analysis and identification of unbalance and misalignment in a rigid rotor with two offset discs levitated by active magnetic bearings: a novel trial misalignment approach, 2020, Propulsion and Power Research

Their frequent collaborators include:

  • Prabhat Kumar
  • Gyan Ranjan
  • Harshal B. Nemade
  • Debabrata Gayen
  • Debabrata Chakraborty

In addition to journal articles, Rajiv Tiwari has contributed to book publications, particularly with Springer Nature and Springer Science+Business Media. Notable books include:

  • Vibration Engineering and Technology of Machinery, Volume I (2023)
  • Vibration Engineering and Technology of Machinery, Volume II (2024)
  • Flexible Electronics for Electric Vehicles (2023)

Best Publications

  • Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

    Purushottam Gangsar;Rajiv Tiwari

  • Identification of Dynamic Bearing Parameters: A Review

    R. Tiwari;A. W. Lees;M. I. Friswell

  • Multi-objective design optimisation of rolling bearings using genetic algorithms

    Shantanu Gupta;Rajiv Tiwari;Shivashankar B. Nair

  • Rotor Systems: Analysis and Identification

    Rajiv Tiwari

  • Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms

    Purushottam Gangsar;Rajiv Tiwari

  • Application of active magnetic bearings in flexible rotordynamic systems - A state-of-the-art review

    R. Siva Srinivas;R. Tiwari;Ch. Kannababu

  • Optimum design of rolling element bearings using genetic algorithms

    B. Rajeswara Rao;Rajiv Tiwari

  • Prediction of flow blockages and impending cavitation in centrifugal pumps using Support Vector Machine (SVM) algorithms based on vibration measurements

    Asish Kumar Panda;Janani Shruti Rapur;Rajiv Tiwari

  • Static and dynamic analyses of cracked functionally graded structural components: A review

    Debabrata Gayen;Rajiv Tiwari;D. Chakraborty

  • IDENTIFICATION OF SPEED-DEPENDENT BEARING PARAMETERS

    R. Tiwari;A.W. Lees;M.I. Friswell

  • Identification of bearing dynamic parameters and unbalance states in a flexible rotor system fully levitated on active magnetic bearings

    Rajiv Tiwari;Avinash Chougale

  • Rolling element bearing design through genetic algorithms

    Indraneel Chakraborty;Vinay Kumar;Shivashankar B. Nair;Rajiv Tiwari

  • Simultaneous identification of residual unbalances and bearing dynamic parameters from impulse responses of rotor-bearing systems

    R. Tiwari;V. Chakravarthy

  • Support vector machine based optimization of multi-fault classification of gears with evolutionary algorithms from time–frequency vibration data

    D.J. Bordoloi;Rajiv Tiwari

  • Multi-fault identification in simple rotor-bearing-coupling systems based on forced response measurements

    Mohit Lal;Rajiv Tiwari

  • Blockage and cavitation detection in centrifugal pumps from dynamic pressure signal using deep learning algorithm

    Rajiv Tiwari;D.J. Bordoloi;Aakash Dewangan

  • Optimum multi-fault classification of gears with integration of evolutionary and SVM algorithms

    D.J. Bordoloi;Rajiv Tiwari

  • A support vector machine based fault diagnostics of Induction motors for practical situation of multi-sensor limited data case

    Purushottam Gangsar;Rajiv Tiwari

  • Identification of an open crack model in a beam based on force–response measurements

    N. Dharmaraju;R. Tiwari;S. Talukdar

  • Crack localisation and sizing in a beam based on the free and forced response measurements

    M. Karthikeyan;R. Tiwari;S. Talukdar

  • Simultaneous estimation of the residual unbalance and bearing dynamic parameters from the experimental data in a rotor-bearing system

    R. Tiwari;V. Chakravarthy

  • Whirl frequencies and critical speeds of a rotor-bearing system with a cracked functionally graded shaft – Finite element analysis

    Debabrata Gayen;D. Chakraborty;Rajiv Tiwari

  • An Optimum Design of Crowned Cylindrical Roller Bearings Using Genetic Algorithms

    K. Sunil Kumar;Rajiv Tiwari;P. V. V. N. Prasad

Frequent Co-Authors

Michael I. Friswell
Michael I. Friswell Swansea University

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