Research Details

Turbomachine Blading and Rotor Analysis
Extensive analysis of turbine blades and rotors including:
  • free vibrations
  • experimental damping estimation,
  • forced vibration analysis under steady and transient operating regimes and
  • life estimation coupled with laboratory testing and measurements.
Software in use at BHEL, Hyderabad and Tai Power Company, Taipei.
Nonlinear System Identification
  • Based on Volterra and Weiner Theories, which form the basis of higher order FRF Analysis for Nonlinear Systems.
  • Wavelet based methods for transient response analysis and application to coast-up and coast-down signatures.
  • Kernel Identification for various types of nonlinearities.
  • Systems with single and multiple degrees of freedom with direct and cross-coupling terms are analysed.
Estimation of System Parameters
  • Stochastic Vibration Analysis employing Fokker-Planck-Kolmogrov theories, which provide analytical solutions for nonlinear response in terms of probabilty statistics.
  • Higher Order Kernel Processing of nonlinear system response under random excitation.
  • Multi-tone Harmonic Probing techniques with Volterra and Wiener Theories.
Modal Analysis and Testing
  • Analysis of external (stabilising) and internal (destabilising) damping in rotors.
  • Spatial Modal Analysis of beams.
Time Series Applications
  • ARMA models for response prediction in mechanical systems.
Condition Monitoring
  • Neural Network Algorithms developed for Condition Monitoring applications in rotating machinery, including steam and gas turbine engines. Algorithms are based Backpropagation, Radial Basis Functions and Self Organising Maps.
  • Bifurcations and chaos in rotors due to multiple faults.
Vehicle Dynamics
  • Dynamic Stabilty analysis and study of phenomenon like roll-over and lateral sliding of automobiles.
  • Control Algorithms for Limited Slip Differentials.
  • Wheel-rail interaction dynamics for rail vehicles.