Many attempts have been made to automate the process through which vibration signals are analyzed to pinpoint a machine fault. Detailed diagnostic vibration analysis is often performed using portable spectrum analyzers that implement Fast Fourier Transform (FFT) mathematics on the vibration signal. In some instances, only a trained analyst can interpret the vibration data, effectively diagnose ...

Bicoherence or Bispectrum analysis is emerging as a new powerful technique in signal processing, especially in areas where traditional linear spectral analysis provides insufficient information. It is most effective in analyzing systems with non-linear coupling between frequencies. Faults in rotating machineries leave their signature on the vibration signal sensors and generally manifest themse...

The purpose of this paper is to review the work that has been done in the past years by various researchers in vibration based health and usage monitoring and to identify the principal features and signal-processing algorithm used to this purpose. The damage detection concepts and the signal analysis techniques will be reviewed and categorized. Latest advances in signal processing methodologies...

In recent years, improvement has been achieved in vibration signal processing, using wavelet analysis for condition monitoring and fault diagnosis. The use of wavelet analysis has proven to be efficient to detect faults in vibration signals with nonstationary, transient characteristics/ components. An experimental data set is used to compare the diagnostic capability of the fast Fourier transfo...

We examined the association between the vibration signal and juvenile hormone (JH) titers of honeybees by comparing vibrated recipients and nonvibrated control workers that had been matched for age, colony of origin, and time of collection. Recipients collected at the moment they received vibration signals (0-min bees) did not have higher JH titers compared with controls, which suggests that a ...

Reliable measurements of ball mill load parameters and reorganization of the operating statuses are the key factors for saving energy and optimization control. Empirical mode decomposition (EMD) and partial least squares (PLS) are used to analyze shell vibration signal and monitor mill load parameters of ball mill. The shell vibration signal is decomposed into several intrinsic mode functions (...

This paper proposes a method for determining maturity levels of durian by using nondestructive vibration. The vibration is transferred directly through durian at a region between prickles located at the middle of durian. The measurement of frequency response from vibration of durian is performed by using laser doppler. The signal is processed for finding velocity of vibration, elastic constants...

The purpose of this paper is to review the work that has been done in the past years by various researchers in vibration based health and usage monitoring and to identify the principal features and signal-processing algorithm used to this purpose. The damage detection concepts and the signal analysis techniques will be reviewed and categorized. Latest advances in signal processing methodologies...

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

A Optical Fiber Vibration pre-Warning System (OFVWS) has an ability to detect and identify vibration signals by using a optical fiber cable lain along with pipes, hence it has been widely applied in some safety fields, such as the pipeline transportation, national defense, military base and so on. In the application of the OFVWS, one of the key issues is to identify harmful mechanical vibration...