Condition Monitoring And Fault Diagnosis Of Rolling Element Bearing

Volume 6 Issue 4 August - October 2018

Research Paper

Condition Monitoring And Fault Diagnosis Of Rolling Element Bearing

Shayela Farheen Aziz*, Arun Kumar**

*PG Scholar (Instrumentation and Control), Chhattisgarh Swami Vivekananda Technical University, Durg Chhattisgarh, India.

**Professor, Department of ETC, BIT Durg, Chhattisgarh, India.

Aziz, F. S., & Kumar, A. (2018). Condition Monitoring And Fault Diagnosis Of Rolling Element Bearing. i-manager's Journal on Instrumentation and Control Engineering, 6(4), 9-17. https://doi.org/10.26634/jic.6.4.14955

Abstract

Bearings are the most important part of any machinery used for domestic purpose or in big industries. Accurate working of these machines and devices relies on resistance free running of the bearings. In industrial applications, these bearings act as the most crucial machine component because they have to work under high load and speed; and defects in bearing, until noticed in time, can even lead to failure of the machinery. Therefore, identification of these defects is important for condition monitoring and quality inspection of bearings. Different methods are used for detection and diagnosis of bearing defects; they are classified as vibration measurements, acoustic measurements, temperature measurements, and wear debris analysis. For monitoring the condition and diagnosing the fault that may occur in REB, the vibration analysis technique is widely used because of its reliability and accuracy. In this work, the vibration signal of the REB under the normal and faulty condition from the database of Case Western Reserve University is taken for detailed analysis. Useful data from the raw signal is mined using Time Synchronous Averaging (TSA) and then TSA signal is processed using Discrete Wavelet Transform (DWT). The features of the DWT signal (D3) are extracted and further processed using Feed forward Backpropagation Artificial Neural Network. Moreover, comparison between existing work and this work has been shown.

Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions

Volume 6 Issue 4 August - October 2018

Research Paper

Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions

Samer As'ad*, Adnan Al-Smadi**, Wael Massarweh***

*Head, Department of Renewable Energy Engineering, Middle East University, Jordan.

**Former Dean, Hijjawi College for Engineering Technology, Yarmouk University, Jordan.

***Consultant, Al Hussein Technical University, Amman, Jordan.

As'ad, S., Al-Smadi, A., & Massarweh, W. (2018). Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions. i-manager's Journal on Instrumentation and Control Engineering, 6(4), 1-8. https://doi.org/10.26634/jic.6.4.14945

Abstract

In direct aluminum extrusion, so much work has been accumulated to control the process with respect to such principle element as billet metallurgy, die design, equipment, and process parameters. The objective of this paper is to develop an algorithm that can be used to extract some features from the energy consumption cycle in one billet. The results of the diagnostic analysis can be used to monitor energy consumption and time it takes to extrude one billet. In addition, the developed method can be automated to predict how long the production will be at its maximum and at its minimum. Hence, energy and time can be saved. The work presented here is based on real-data taken from a sensor attached to three pumps at the plant that takes 5 readings every 2 seconds for each pump. That is, a total of 15 readings every 2 seconds. The work presented is for direct-extrusion using 2420 Metric ton capacity. The algorithm detects the boundary points for the regions in the signature. It should be emphasized that the available machine is designed for direct extrusion operations only.

Application and Comparison of Optimal LQR Control Techniques for Engine Modeling

Volume 6 Issue 3 May - July 2018

Research Paper

Application and Comparison of Optimal LQR Control Techniques for Engine Modeling

Shashidhar S. Gokhale*, Yathisha L. **, Sudarshan S. Patil Kulkarni ***

* Ph.D. Scholar, Department of Electronics, Mysore University, Karnataka, India.

** Associate Professor, Department of Electronics and Communication Engineering, ATME College of Engineering, Mysore, Karnataka, India.

*** Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India.

Gokhale, S.S., Yathisha, L., & Kulkarni, S. S. P. (2018). Application and Comparison of Optimal LQR Control Techniques for Engine Modeling. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 36-43. https://doi.org/10.26634/jic.6.3.14684

Abstract

In the present scenario, the optimization of engine parameters is very much necessary for the smooth operation of automotive engines. This paper presents the three Optimal Linear Quadratic Control approaches for the state space engine model for the optimization of manifold pressure and engine speed state variables. The proposed three optimal controllers are Bryson, Bouderal, and Multistage Linear Quadratic Regulator (LQR) control techniques. The proposed controllers are applied and compared for the engine state space model using MATLAB/Simulink platform.

Design and Simulation of Fuzzy Controller Based Multi Input Cuk Converter For DC Grid System

Volume 6 Issue 3 May - July 2018

Research Paper

Design and Simulation of Fuzzy Controller Based Multi Input Cuk Converter For DC Grid System

Chandra Bhushan Gupta*, N. Prema Kumar **

* PG Scholar, Department of Electrical Engineering, Andhra University College of Engineering (Autonomous), Visakhapatnam,Andhra Pradesh, India..

** Professor, Department of Electrical Engineering, College of Engineering (Autonomous), Andhra University, Visakhapatnam, Andhra Pradesh, India.

Gupta, C.B., & Kumar, N. P. (2018). Design and Simulation of Fuzzy Controller Based Multi Input CUK Converter for Dc Grid System. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 28-35. https://doi.org/10.26634/jic.6.3.14963

Abstract

In this paper, a multi input Cuk converter is designed and simulated using a fuzzy logic controller. Multi input Cuk converter have their own applications in DC grid system that can be used to integrate multiple sources together and then create a common DC bus bar. Conventionally, a separate DC-DC converter is required to produce output of each source. This creates a complex network and is also not a cost effective solution. Therefore, a combined converter model is created and simulated in MATLAB using intelligent fuzzy logic controller approach. This helps in minimization of ripple content, power quality improvement, flexibility, and it is efficient in regulation of DC bus voltage. A single stage Cuk converter is designed first using Pulse Width Modulation (PWM) as the control of duty cycle and later using PI controller. The waveform response in both conditions were noted down and analysis were done. Then a fuzzy logic controller for single source is implemented with intelligent algorithm. Improvement in signal quality was noted down with the use of fuzzy logic and later it was incorporated in creating a multi input Cuk converter. Only DC input integration of multiple energy either renewable or non-renewable sources is discussed in this paper.

Intelligent Controller Design for a Solar Panel Tracking

Volume 6 Issue 3 May - July 2018

Research Paper

Intelligent Controller Design for a Solar Panel Tracking

Rohith Kommineni*

Assistant Professor, Department of Electronics & Communication Engineering, VEMU Institute of Technology, Chittoor, Andhra Pradesh, India.

Kommineni, R. (2018). Intelligent Controller Design for a Solar Panel Tracking. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 22-27. https://doi.org/10.26634/jic.6.3.14752

Abstract

This paper proposes an intelligent model of a solar panel tracking system for improving its efficiency in power generation. Maximum efficiency depends on maximum solar radiation on the panel. The solar panel is attached to a stepper motor for moving the panel direction according to the sun’s radiation. The sun radiation intensity is measured by a light detector circuit. An Intelligent controller is developed using fuzzy logic controller to send command signal to the motor for movement of solar panel direction. The system is fully automatic and adopts changes in atmosphere.

Mathematical Modeling and Simulation of Three Phase Induction Motor for Industries with Accurate Parameter Requirements

Volume 6 Issue 3 May - July 2018

Research Paper

Mathematical Modeling and Simulation of Three Phase Induction Motor for Industries with Accurate Parameter Requirements

H. Sathishkumar *, S. S. Parthasarathy **

* Research Scholar, Department of Electronics, PET Research Foundation affiliated to University of Mysore, P.E.S College of Engineering, Mandya, Karnataka, India.

** Professor, Department of Electrical and Electronics Engineering, P.E.S College of Engineering, Mandya, Karnataka, India.

Sathishkumar, H., & Parthasarathy, S. S. (2018). Mathematical Modeling and Simulation of three Phase Induction Motor for Industries with Accurate Parameter Requirements. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 12-21 https://doi.org/10.26634/jic.6.3.14166

Abstract

Three phase induction motors are widely used in many industries, especially role of these three phase induction motors in cable industry is indispensible. This cable industry (Ravicab cables private limited, Bidadi) is using various three phase induction motors (1hp, 3hp, 5hp, 15hp, and 150hp) for various operations. In this paper, only 3hp three phase motor is taken into account for analyzing. This 3hp motor (i.e. capstan motor) is used for cable pulling purpose after the cable has been manufactured. This 3hp motor is needed to be operated at various speeds while pulling the various diameter cables, such as 2.30 mm, 4.75mm, 7.25 mm, and 10.35 mm. Therefore in this paper, modeling of the 3hp three phase induction motor is performed to run this motor at variable speed with respect to various diameters of the cable. In this modeling, a 3hp three phase induction motor is accurately modeled with respect to the requirements of cable pulling process.

Design and Analysis of Solar PV-Fuel Cell-Battery Based Hybrid Renewable Energy System (HRES) for Off-Grid Electrification in Rural Areas

Volume 6 Issue 3 May - July 2018

Research Paper

Design and Analysis of Solar PV-Fuel Cell-Battery Based Hybrid Renewable Energy System (HRES) for Off-Grid Electrification in Rural Areas

Suresh Vendoti*, Muralidhar M. **, Kiranmayi R.***

* Research Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Ananthapur, Andhra Pradesh, India

** Director and Professor, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering & Technology (Autonomous), Chittoor, Andhra Pradesh, India.

*** Professor and Head, Department of Electrical & Electronics Engineering, Jawaharlal Nehru Technological University, Ananthapuramu, Andhra Pradesh, India

Vendoti, S., Muralidhar, M., & Kiranmayi, R. (2018). Design and Analysis of Solar Pv-Fuel Cell-Battery Based Hybrid Renewable Energy System (HRES) for Off-Grid Electrification in Rural Areas. i-manager’s Journal on Instrumentation and Control Engineering, 6(3), 1-11. https://doi.org/10.26634/jic.6.3.14500

Abstract

In the field of research and development, the design of a Hybrid Renewable Energy System (HRES) has a general approach, however at the same time, there are some difficulties like their consumption and effectiveness. HRES are becoming more popular for standalone applications such as supplying electricity in rural areas due to increase in energy demand. The commonly accessible renewable energy sources in nature are solar, hydro, wind, biomass/biogas, etc., which need innovative technology to produce more amount of useful power from them. Numerous storage techniques can be used in the renewable energy system like compressed air energy storage, pumped hydro storage, hydrogen fuel cells, and flywheels, and so on, but there are certain parameters that should be kept in mind while choosing storage technology: efficiency, cost energy density, and power density. Two storage devices are considered in this paper; both are producing electricity as well as storage. However, while a battery makes electricity from the energy it has stored inside the battery, a fuel cell makes its electricity from fuel in an external fuel tank. This paper deals with modeling and simulation of a Hybrid Renewable Energy System (HRES) for off-grid electrification of rural areas. It consists of PV array, Proton Exchange Membrane (PEM) fuel cell, and battery along with seven levels Multi-level Inverter (MLI). In this paper, firstly, a dynamic model has been obtained in MATLAB/Simulink environment with the required processing. At the end, the simulation results are presented for the proposed hybrid renewable energy system.