Abstract Condition monitoring based on the vibration signal analysis was often based on the Fast Fourier Transform (FFT). In order to overcome performance limitations of FFT such as disability of describing non-stationeries vibration signal that introduced by faults, Power spectral density (PSD) technique is very effective. Exponential distribution function was used for calculating an electromotor fault probability .The objective of this... Condition monitoring based on the vibration signal analysis was often based on the Fast Fourier Transform (FFT). In order to overcome performance limitations of FFT such as disability of describing non-stationeries vibration signal that introduced by faults, Power spectral density (PSD) technique is very effective. Exponential distribution function was used for calculating an electromotor fault probability .The objective of this paper was to investigate the correlation between vibration analyses, fault diagnosis, Fault Probability Distribution Function (FPDF), Time signal and PSD of an electromotor of process water pump. We were calculated Grms (Root-Mean-Square Acceleration) and PSD of DE of an electromotor before and after repair. Also before repair probability of fault was calculated. The results of this paper have given more understanding on the dependent roles of vibration analysis and PSD in predicting and diagnosing machine faults and by using FPDF we can determine the amount of fault probability before repair. Read More Read Less

Abstract Vibration analysis is the main conditions monitoring techniques for machinery maintenance and fault diagnosis. Practical experience has shown that this technique in a machine condition monitoring program provides useful reliable information, bringing significant cost benefits to industry. Many vibration environments are not related to a specific driving frequency and may have input from multiple sources which may not be harmonically... Vibration analysis is the main conditions monitoring techniques for machinery maintenance and fault diagnosis. Practical experience has shown that this technique in a machine condition monitoring program provides useful reliable information, bringing significant cost benefits to industry. Many vibration environments are not related to a specific driving frequency and may have input from multiple sources which may not be harmonically related. With these types of vibration, it may be more accurate, or of more interest to analyze and test using random vibration. In this research we were calculated grms(Root-Mean-Square Acceleration) and Power Spectral Density (PSD) of Naji crane hydraulic pump in different faults situations. The results showed that different faults were showed different PSD vs. frequency. The results showed that with calculating PSD we could find some fault and diagnosis of hydraulic pump as soon as possible. Read More Read Less

Abstract Through an extensive analysis, we measure, how the meso-scale and micro-scale electroencephalography (EEG) synchronization measures can be used for discriminating patients suffering from Alzheimer’s disease (AD) from normal control subjects. To this end, two synchronization measures, namely power spectral density and multivariate phase synchronization, are considered and the topography of the changes in patients vs. Controls is shown. The AD... Through an extensive analysis, we measure, how the meso-scale and micro-scale electroencephalography (EEG) synchronization measures can be used for discriminating patients suffering from Alzheimer’s disease (AD) from normal control subjects. To this end, two synchronization measures, namely power spectral density and multivariate phase synchronization, are considered and the topography of the changes in patients vs. Controls is shown. The AD patients showed increased power spectral density in the frontal area in theta band and widespread decrease in the higher frequency bands. It was also characterized with decreased multivariate phase synchronization in the left fronto-temporal and medial regions, which was consistent across all frequency bands. A region of interest was selected based on these maps and the average of the power spectral density and phase synchrony was obtained in these regions. These two quantities were then used as features for classification of the subjects into patients’ and controls’ groups. Our analysis showed that the theta band can be a marker for discriminating AD patients from normal controls, where a simple linear discriminant resulted in 83% classification precision. Read More Read Less

Abstract Mobile agent based systems are so complex that the usage of formal tools for simulation and prototyping to facilitate the modelling of such systems is of great interest. Improved methods are needed to insure their correctness. In particular predefined patterns seems to give suitable solution to deal with complexity of formal methods and to enable reusability and consistency. In another... Mobile agent based systems are so complex that the usage of formal tools for simulation and prototyping to facilitate the modelling of such systems is of great interest. Improved methods are needed to insure their correctness. In particular predefined patterns seems to give suitable solution to deal with complexity of formal methods and to enable reusability and consistency. In another hand executable specification are a powerful technique to prototype and analyse complex systems The aim of this paper is to propose a number of patterns sin MAUDE language to model mobile agents itineraries and to ease their analysis and/or their model checking through MAUDE based executable specification. Read More Read Less

Abstract Emissivity is an important and necessary parameter for non-contact thermometry. In this research, the emissivity of pistachio was determined by comparing the readings of contact thermometer and that of thermal imaging camera. In addition, the effect of surface temperature of pistachio kernel on its emissivity was investigated. The obtained results show 0.95 as emissivity of pistachio kernel in 4.5% d.b.... Emissivity is an important and necessary parameter for non-contact thermometry. In this research, the emissivity of pistachio was determined by comparing the readings of contact thermometer and that of thermal imaging camera. In addition, the effect of surface temperature of pistachio kernel on its emissivity was investigated. The obtained results show 0.95 as emissivity of pistachio kernel in 4.5% d.b. moisture content. It was observed that the emissivity of pistachio kernel will be improved by increasing of temperature. Read More Read Less