The vibration of the dimer excited by STM current on Si(001) surface is investigated. We describe this system by the Hamiltonian which has the electron-vibration coupling term as the key ingredient. In order to characterize the transition rates induced by STM current between vibrational states we have introduced the effective temperature of the vibration which differs from the temperature of th...

The modal vibration characteristics of new MEMS (microelectromechanical systems) ultrasonic sensors have been studied theoretically and experimentally. Such studies are needed in order to design MEMS sensors with improved sensitivity for detection of ultrasound. The determination of vibration behavior of such sensors is critical for a successful design, and a validated vibration characterizatio...

This paper presents a novel semi-active Variable Stiffness and Damping Isolator (VSDI) for vibration mitigation of structures. The proposed VSDI system consists of a traditional steel-rubber vibration absorber, as the passive fail-safe element, and a magneto-rheological elastomer (MRE) with a controllable (or variable) stiffness and damping behavior, as the passive-active element. MRE is a type...

The vibration behavior of structures can be characterized in terms of resonance frequencies and mode shapes which describe properties of the tested object in a global way but do not in general provide information about structural details. Following an asymptotic formalism, in much the same spirit as the work in [3] and recent text [1], we develop a simple method to address the inverse problem o...

Research shows that multi-fractal can not only exhibit the singular probability distribution form of the fractal signal completely, but also increase the fine level of signal geometrical characteristics and local scaling behavior. Based on multi fractal dimension calculation of time-frequency matrix of vibration signal of rolling bearing in this paper, energy distribution characteristics of tim...

This paper reports on research to evaluate the application of artiicial neural networks to pump condition monitoring. Based on historical velocity vibration measurements, artiicial neural networks were developed to assess pump condition. Pumps, in general, behave like most rotating equipment and evolve or deteriorate as a function of a single variable, namely time. Such evolution forms the basi...

We report experimental studies of the effect of interstitial gas on mass-density segregation in a vertically vibrated mixture of equal-sized bronze and glass spheres. Sufficiently strong vibration in the presence of interstitial gas induces vertical segregation into sharply separated bronze and glass layers. We find that the segregated steady state (i.e., bronze or glass layer on top) is a sens...

We used B-mode imaging to study the vibratory phenomena of the vocal folds. The presence of multilayered structures of the vocal folds in the B-mode image was verified by using freshly excised human larynges in vitro. To capture images of vocal fold vibration, a special treatment was used to reconstruct the aliasing B-mode motion pictures of vocal fold vibration. Echo-particle image velocimetry...

This paper presents the development of an optimal PID controller for vibration control of flexible manipulator structures using particle swarm optimization (PSO) for tuning the PID parameters. The flexible manipulator system is first modeled using finite difference (FD) approach and identification using global search of PSO. The control structure comprises conventional PID controller and an int...

A general fundamental relation connecting the correlation of Stokes and anti-Stokes modes to the quantum statistical behavior of vibration and pump modes in Raman-active materials is derived. We show that under certain conditions this relation can be used to determine the equilibrium number variance of phonons. Time and temperature ranges for which such conditions can be satisfied are studied a...