Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...

this study investigated the status of mechanized power and self-propelled rice cultivation machinery in guilan province in northern iran. the raw data was obtained from 2013 statistics of the agricultural jihad organization of guilan province. power per unit of area, mechanization level, area per unit of self-propelled machinery, and mechanization requirement were calculated for eastern, wester...

In this paper a complete robust control synthesis is performed for a hybrid power generation structure composed by a Fuel Cell and a Supercapacitor. The control strategies are applied to the DC-DC boost power converters associated to each power source. Multivariable PI control withH∞ performance,H∞ full and reduced order controllers are designed and compared. The multivariable PI controller is ...

This paper presents the basic characteristics of the digitally controlled boost type dc-dc converter. The static and dynamic characteristics of the dc-dc converter with the digital PID control are discussed. Especially, it is examined that the A-D conversion timing and anti-aliasing filter’s cut-off frequency affect the dynamic and static characteristics. As a result, when the anti-aliasing fil...

A novel high step-up DC-DC converter with coupled-inductor and switched-capacitor techniques is proposed in this paper. The capacitors are charged in parallel and are discharged in series by the coupled inductor, stacking on the output capacitor. Thus, the proposed converter can achieve high step-up voltage gain with appropriate duty ratio. Besides, the voltage spike on the main switch can be c...

This paper proposes dynamic clustering for coverage-time maximization (DC-CTM) in sensor networks. The coverage-time is defined as the time until one of cluster heads (CHs) runs out of energy in clustering-based sensor networks. DC-CTM regulates cluster radii for balanced energy consumption among CHs for coverage-time maximization. By using DC-CTM, three advantages can be achieved. The first on...