This study showed that an image data acquisition system connecting a high-speed camera or webcam to a notebook or personal computer (PC) can precisely capture most dominant modes of vibration signal, but may involve the non-physical modes induced by the insufficient frame rates. Using a simple model, frequencies of these modes are properly predicted and excluded. Two experimental designs, whic...

Recent advances in pattern analysis techniques together with the advent of miniature vibration sensors and high speed data acquisition technologies provide a unique opportunity to develop and implement in-situ, beneficent, and non-intrusive condition monitoring and quality assessment methods for a broad range of rotating machineries. This invited paper provides an overview of such a framework. ...

A statistical model of gear mesh vibration signals is proposed in this paper. It is seen that the sample mean is first removed from the gear mesh vibration signal, and the remaining signal components are approximated with a set of sinusoidal functions in the signal model. The signal model parameters can be estimated by the least-square method and the optimal model order is determined based on t...

Abstract: The proposed method allows determining the level of wear of the bearings of electric machines by means of rotor radial displacement during operation. Measurement is effected by non-contact method and optoelectronic sensor which converts the rotor mechanical motion into electric signal. Received informational signal is recorded and processed by computer system. Based on the processed i...

We present a novel approach to signal separation using temporal correlations, which may be useful in decomposition of multichannel vibration data into fault-related harmonic activity. Performance of the algorithm with respect to parameter settings is investigated with artiicial data, whereas vibration data from a submsersible pump is used to compare the second-order ICA algorithm to other metho...

in the diesel engine exhaust gas recirculation (egr) components, valve and connecting pipes are the critical components and fails often during new engine development. these components are important for meeting nox emissions norms. therefore design of these components should remain robust. but the challenge in design is compact packaging of complete egr components on the engine consequently vibr...

Sensory augmentation using vibrotactile stimulation has been shown to compensate for distorted haptic feedback in tissue compliance differentiation tasks in laparoscopic surgery. This study investigated its usefulness for tumor palpation. A controlled experiment was conducted using a wearable vibrotactile device that responded with various levels of vibration signal parameters (i.e., amplitude,...

The multi-scale Hermitian wavelet order envelope spectrum based bearing fault detection and diagnosis method under run-up condition is presented in this paper. This new approach based on the fusion of the computed order tracking, Hermitian wavelet transform and envelope spectrum is used for detection defects in roller element bearings. Firstly, Non-stationary vibration signal under run-up condi...

Vibration analysis does not cover all defects able to affect a rotating machine, including those that induce torque or instantaneous rotation speed fluctuations. Indeed the vibrational energy contributions of this type of defects such as a natural and gradual degradation of the gears are often weak. Therefore the appearance of these defects is very difficult to detect from the vibrational energ...

Effectiveness of Artificial Neural Networks (ANN) and Support Vector Machines (SVM) classifiers for fault diagnosis of rolling element bearings are presented in this paper. The characteristic features of vibration signals of rotating driveline that was run in its normal condition and with faults introduced were used as input to ANN and SVM classifiers. Simple statistical features such as standa...