Comparison Vibration Analysis And Model Based Voltage And Current The article presents the comparison of condition monitoring and diagnostics techniques using model based voltage current analysis (mbvi) and vibration analysis (va). This article looks at a technology that builds on these inbuilt advantages of electrical monitoring over conventional vibration monitoring, and takes them to an even higher level of capability, model based voltage and current (mbvi) systems.
Vibration Analysis Comparision Pdf In this study, a novel model based voltage and current analysis methodology is proposed for the torque oscillation detection and condition monitoring of centrifugal pumps. How mbvi systems work – subtle changes in the relationship between voltage and current. most engineers are familiar with the fact that an electric motor will draw more current when it is under a higher load, and a lower current when it is under lower load, even though the supply voltage is constant. Model based voltage and current (mbvi) systems effectively use the motor as a sensor. whereas proximity probes and accelerometers detect signals in a radial or axial direction, the variation in motor current associated with variations in load create a signal related to torsional vibration. The purpose of this article is to compare two methods: analysis of the stator current (mcsa fft) and the vibration analysis method (mvsa fft) to access a valuable decision.
Electric Motor Vibration Analysis The Informative Brief Pdf Model based voltage and current (mbvi) systems effectively use the motor as a sensor. whereas proximity probes and accelerometers detect signals in a radial or axial direction, the variation in motor current associated with variations in load create a signal related to torsional vibration. The purpose of this article is to compare two methods: analysis of the stator current (mcsa fft) and the vibration analysis method (mvsa fft) to access a valuable decision. The goal of this paper is to compare this three phase electrical approach and the usual vibration based method in terms of detection capabilities of mechanical faults in drive trains. In this study, we try to integrate the information received from the vibration and current signals. five induction machine conditions including both mechanical and electrical faults were presented in the experiment. The goal of this paper is to study faults occurring in such equipments and mainly, considering a specific kind of failures, establish a methodology allowing to know between two fault detection and isolation techniques – vibration analysis and or current signature analysis – which one is the most efficient or the most sensitive in the. For many people, “condition monitoring” means little more than getting someone to take some vibration readings on your machines and compare the overall levels of velocity or acceleration with a standard threshold number – the sort of thing that can be seen in table a.1, which comes from iso 20816 2.
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