Vibration signals were measured in a lab-scale fluidized bed to investigate the changes in particle sizes. Experiments were carried out in the bed with a different mass fraction of coarser particles at different superficial gas velocities, and probe heights. The S-statistic test evaluates the dimensionless squared distance between two attractors reconstructed from time series of vibration signa...

This work investigates issues related to vibration control in a micro/macro manipulator. This paper provides experimental results obtained by the combination of two dissimilar flexible control techniques to a micro/macro flexible link test bed. Inertial damping and command filtering techniques are implemented simultaneously to form a robust controller that results in minimal residual vibration ...

In this study, A finite element model based on the third order theory is presented for the active vibration control of composite beams with distributed piezoelectric sensors and actuators. For calculating the total charge on the sensor, the direct piezoelectric equation is used and the actuators provide a damping effect on the composite beam by coupling a negative velocity feedback control algo...

This paper reports several intelligent diagnostic approaches for rotating machinery based on artificial intelligence methods and feature extraction of vibration signals. That is: the diagnosis method based on wavelet transform, rough sets and neural network; the diagnosis method based on sequential fuzzy inference; diagnosis approach by possibility theory and certainty factor model; the diagnos...

In this paper a control scheme for electro-dynamic shaker control is proposed. The proposed controller is best suitable for random vibration control in which the excitation signal is a random signal. The controller designed is using acceleration power spectral densities and adaptive filtering technique. The proposed scheme eliminates the requirement of tracking filters in the vibration control ...

The paper introduces the concept of fault diagnosis using an observer bank of autoregressive time series models. The concept was applied experimentally to diagnose a number of induced faults in a rolling element bearing using the measured time series vibration signal. Three distinct techniques of autoregressive modeling were compared for their performance and reliability under conditions of var...

Micro-cantilevers are frequently used as scanning probes and sensors in micro-electromechanical systems (MEMS). Usually micro-cantilever based sensors operate by detecting changes in cantilever vibration modes (e.g., bending or torsional vibration frequency) or surface stresses when a target analyte is adsorbed on the surface. The catalyst for chemical reactions (i.e., for a specific analyte) c...

In the pursuit of increasing treatment efficiency and decreasing treatment duration, vibratory stimulation has been advocated as a possible adjunct to orthodontic appliances to increase the rate of tooth movement. Following this, a new device called the Acceledent has become commercially available, and is aimed at decreasing treatment duration by accelerating periodontal and bony tissue remodel...

Extracting an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has been an issue and attracting researchers’ attention in energy replenishable networks. In particular, a piezoelectric device based energy harvesting from ambient vibrations is a promising technique for easy of battery energy replenishment in vibration-motivated wireless sensor...

Vibrothermography is a technique for finding cracks and delaminations through infrared imaging of vibration-induced heating. While vibrothermography has shown remarkable promise, it has been plagued by persistent questions about its reproducibility and reliability. Fundamentally, the crack heating is caused by the vibration, and therefore to understand the heating process we must first understa...