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