The present study attempts to diagnose severity of faults in ball bearings using various machine learning techniques, like support vector (SVM) and artificial neural network (ANN). Various features are extracted from raw vibration signals which include statistical such as skewness, kurtosis, standard deviation measures uncertainty Shannon entropy, log energy sure etc. calculated examined for their sensitivity towards fault different bearings. proposed methodology incorporates extraction most...

This article, focuses on the load frequency control (LFC) of a single-area system with grey wolf optimization metaheuristic approach. approach is applied to optimize PID controller parameters for effective operation system. The Algorithm (GWO) has been utilized controller’s and minimize error. SIMULINK Model used simulate Single-area (SALFC) GWO mitigate error fluctuations. integral time absolute (ITAE) considered as an objective function optimal search parameters. performance observed...

With the development in technology, it is now becoming a common practice to communicate with your day-today interacting appliance remotely using portable device like Smartphone which has internet connectivity. This been made easier by concept of Internet Things (IoT). In this paper, we present such system where household interactions implementing automation and security along create will enable someone monitor control some areas house from anywhere.

IoT (Internet of things) has become an emerging topic in technological field research.It is basically interconnecting devices with each other over the internet network.It facilitates digitalization and automation manually operating devices.We typically think Internet things (IoT) terms autonomous cars smart homes, but some best innovative applications technology are fields that intensely practical.One major health care monitoring system.The main purpose our project luxury to explore improved...

Abstract Rolling element bearings are one of the most common mechanical components used in a wide variety rotating systems. The performance these systems is closely associated with health bearings. In this study, nonlinear time series analysis method, i.e., recurrence utilized to assess using domain data. acquires quantitative measures from plots and provides an insight system under investigations. Experiments performed generate vibration data healthy faulty bearing. Eight five time-domain...

Abstract Dynamic Induction Control (DIC) has the potential of boosting wind farm power by enhancing wake recovery, whereby periodic pitch motions are used to exploit natural instabilities turbine wakes. This work studies DIC both experimentally and numerically. A thorough validation an LES-ALM (Actuator Line Method) simulation tool is first conducted against experimental measurements. shows that CFD model able accurately simulate power, loads behavior a operating with DIC. The validated then...

Bearings are the most common components used in rotating machines.Their malfunction may result costly shutdowns and human causalities which can be avoided by effective condition monitoring practices.In present study, attempt has been made to estimate severity of defect bearing a two-step process.Initially, defects various severities all classified.In next step, if exist any components, i.e. inner race, outer rolling elements, level is estimated.Various statistical features extracted from raw...

In present paper, nonlinear dynamic model has been developed for cylindrical roller bearings. The Hertzian contact theory is used to derive a two degree of freedom which considers nonlinearity due clearance. behaviour bearing studied with varying number rollers supporting load. modified Newmark-β numerical integration technique solve the equations motion. All results are presented in form Fast Fourier Transforms and Poincarè maps. As increases, system becomes stiffer. show that load one...

In order to accommodate the increasing security demands of Internet Things (IoT)-based applications, Third Generation Partnership Project (3GPP) has announced Fifth (5G) communication technology with amendments such as flexible placement User Plane (UP) functions and network slicing which were not achieved in Fourth (4G) Long Term Evolution (LTE) network. this paper, we identified weaknesses existing 5G handover protocol false base-station attack, lack Key forward/backward secrecy (KFS/KBS),...

With the development of Fifth Generation (5G) mobile telecommunication technology, Third Partnership Project (3GPP) is attempting to fulfill increasing security demands IoT-based applications. 3GPP has published study report 5G handover architecture and functions. In this work, we discuss key mechanism with its hierarchy. addition, Xn-based, N2-based intra/inter AMF in communication network analyzed identify weaknesses such as false base-station Denial-of-Service (DoS) attack. Moreover,...

The present paper aimed for the numerical study on flow structures behind bluff body with different shapes. variation of shapes like circular to elliptical was obtained by changing major minor axis ratio while keeping Reynolds number constant. This done help finite volume method using commercial software Ansys-Fluent at lower subcritical number, i.e., 5000and 10000 comparison parameter variations separately. As earlier studies reveals significant effect blockage features cylinder, this work...

Objectives: This work focuses on the stability analysis of grid connected microgrids. It considers impact load disturbance and voltage change current levels, as well reactive active power responses, is analysed. Methods: A comprehensive small-signal state-space model developed for an inverter-based microgrid, incorporating submodules inverters, phase-locked loops (PLLs), LCL filters. The linearized around a stable operating point, eigenvalue performed validated through MATLAB/Simulink...