The information of the fault frequency characteristics is great importance for all associated diag nostics. This requires a high-resolution spectrum analysis to achieve efficient monitoring machinery faults, especially while diagnosing rotor bar breakage under light load conditions, because frequencies almost overlap with fundamental. In this context, rather than looking several bands are obser...

the cu, pb, zn, ag-au deposit of amensif is located on the northern flank of the western high atlas. this deposit is hosted in lower cambrian carbonate bars and is structurally controlled by ne-sw to e-w trending fault structures and is spatially associated with the permian 273 ma azegour granite. ore reserves are around 0.5 mt and grades are 3.21% zn, 0.58% pb, 0.86% cu with 83.31 ppm ag and 0...

Instantaneous angular speed (IAS)-based condition monitoring is an area in which significant progress has been achieved over the recent years. This condition monitoring technique is less known compared to the existing conventional methods. This paper presents model-predicted simulation and experimental results of broken rotor bar faults in a threephase induction motor using IAS variations. The ...

The paper demonstrates simulation and steady-state performance of three phase squirrel cage induction motor and detection of rotor broken bar fault using MATLAB. This simulation model is successfully used in the fault detection of rotor broken bar for the induction machines. A dynamic model using PWM inverter and mathematical modelling of the motor is developed. The dynamic simulation of the sm...

This paper examines portfolios within the framework of a dynamic asset-pricing model when investors can trade equity assets as well as bonds of many different maturities. We specify the model so that investors have demand for both a risky and a safe income stream. We characterize the resulting optimal equilibrium stock and bond portfolios and document that optimal bond investment strategies par...

Early detection and diagnosis of incipient faults are desirable to ensure an improved operational effectiveness of induction motors. A novel practical method of detection and classification for broken rotor bars, using motor current signature analysis associated with a neural network technique is developed. The motor-slip is calculated via a new simple and very rigorous formula, based on (f s −...

Teleseismic body waveform modeling of the far-field P-and SH-waveforms and spectral analysis of P-waves are used to determine the source parameters of the March 25, 2006 Fin earthquake (mb 5.7). Its epicenter is located at the South of Iran in Hormozgan Province. The waveform modeling results show the earthquake was caused by a thrust motion on a NW-SE striking fault with parameters: Fault plan...

Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. The technology of artificial neural networks has been successfully used to solve the motor incipient fault detection problem. The characteristics, obtained by this technique, distinguish them from the traditional ones, which, in most cases, need that the machine which...

Preparing concrete with unpurified sea sand and seawater is of great significance for the construction in coastal areas short river pure water. However, contain a lot chloride ions which may cause steel corrosion problems. In this paper, are used to prepare ultra-high performance (UHPC), potential differences between bars protective layer thickness 5mm 15mm Cu/CuSO 4 reference electrode under t...