Showing posts with label ijsrd.com. Show all posts
Showing posts with label ijsrd.com. Show all posts

Sunday, September 20, 2015

Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks : IJSRD.com

Paper Title :  Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks

Author Name : Dr. Jigar Patel1 Vaishali Patel2 Amit Patel3 

Author Designation : 1Associate Professor 2Research Scholar 3Assistant Professor

Author College Name : 1KIRC, Kalol 2KSV, Gandhinagar 3CSPIT, Changa

Abstract - The neural network based approaches a feed forward neural network trained with Back Propagation technique was used for automatic diagnosis of defects in bearings. Vibration time domain signals were collected from a normal bearing and defective bearings under various speed conditions. The signals were processed to obtain various statistical parameters, which are good indicators of bearing condition, then best features are selected from graphical method and these inputs were used to train the neural network and the output represented the bearing states. The trained neural networks were used for the recognition of bearing states. The results showed that the trained neural networks were able to distinguish a normal bearing from defective bearings with 83.33 % reliability. Moreover, the network was able to classify the bearings into different states with success rates better than those achieved with the best among the state-of-the-art techniques.

Keyword - artificial neural networks (ANNs), condition monitoring, features extraction, Root mean square, Crest factor, Kurtosis, Skewness, Clearance factor, Impulse factor, shape factor, entropy, energy, upper bound, lower bound, central moment, signal distribution1, spectral skewness, spectral kurtosis, spectral energy, Periodogram. 

For Full Length Paper Visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV1I4003

Tuesday, September 1, 2015

Optimal Battery Charging in a Solar-Powered Robotic Vehicle #ijsrd

IJSRD Leading E-journals of India Found Good Article on Electronics Engineering.


Abstract— This project focuses on the working of a robot with the help of servomechanism solar panel and the ATMEL16L micro-controller .It has on chip memory used for storing the program (set of instructions). Based on the program execution the robot will take the decision in order to performing particular operation. Our proposed system is not only used to controlling the robot but also used for charging the battery completely in day time. It is also used for charging a mobile phone throughout the day. The aim is completing the process of charging a battery independently while the other battery provides all the energy consumes by the robot.

Key words: Servo Mechanism Solar Panel, Mobile Charger, Battery, Robot, Micro-controller

INTRODUCTION

In order to operate robot in which the decision is taken by robot itself. Here the robot is operated based on instructions stored in ATMEL16L microcontroller. The main Moto of this project is the decision is taken by the robot itself with help of solar energy and the servomechanism. Here the importance of servomechanism is used for getting solar energy from the sun entire day time, that is a solar plate is moved with respect to the direction of sun. The batteries are used in this project in order to storing the charge in daytime and that stored charge is used by robot during night time. Here the entire operation of robot is under the supervision of microcontroller. In this project we are using three LDR’s at different positions in order to get the solar energy in daytime. The operation of servomotor mechanism is depending up on the instructions executed in microcontroller, that is in microcontroller depending up on the voltage drop in LDR’s a particular group of instructions are executed. Due to this the servomotor mechanism works.


FUTURE SCOPE

This automation of battery charging and making it use for robot movement and task completion still can further extend to not only charging the mobile phone but also electronic gadgets such as laptops and high power consuming gadgets also. This application is relevant in the real time applications and Robot will be under continuous monitoring process without any gap of supply.  

For Full length Article Visit : http://www.ijsrd.com/articles/IJSRDV3I60017.pdf

For More Research Article Visit : www.ijsrd.com





Tuesday, August 4, 2015

special issue for Image Processing #IJSRD

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.


What is Image Processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us
Image processing basically includes the following three steps.
  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing
The purpose of image processing is divided into various groups. They are:
  • Visualization - Observe the objects that are not visible.
  • Image sharpening and restoration - To create a better image.
  • Image retrieval - Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing
Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….
Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition
Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.
Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.
 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.
Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.
And many other applications…..
To contribute your research work in Image processing please prepare an article on it and submit to us.