Fault Diagnosis and Monitoring In Wind Turbine Using Can Bus

Abstract

This paper is a CAN based architecture intended for the purpose of monitoring and fault diagnosis of wind turbine. CAN is a memo based protocol designed specifically for automotive, late aerospace, industrial automation and medical equipment’s .CAN boundary module is use to communicate the monitor parameters among the wind turbine and the control Centre. During the message of the data beginning one nodule to another nodule trouble occurs. To avoid these conflicts we intend CAN protocol. In this project we assert the system with ARM and CAN protocol to monitor and diagnose the problems in the wind turbine application. The mission deal with the data communication among two units in the exact time without any disturbance. The data communication time is improved by the CAN protocol.ARM core1 run through CAN and LPC2148 as wind turbine unit to which sensors are associated and ARM core2 as defect diagnosis and monitoring section. A discussion about generation voltage (GV) exhibit is also added in this intend .Data acquisition node collects the sensor data during CAN protocol. The fundamental vision of this performance is to reduce the prospect of fault diagnosis and increase the monitoring of wind turbine.

Authors and Affiliations

K. Swathi, S. Saranya, J. Dhivya Rubavathy

Keywords

Related Articles

Optimization of Copper Ion Removal from Wastewater by Using Coal Fly Ash

Most of the adsorbent used for used for removal of heavy metal is activated carbon. It is an expensive material, so that the use of alternative and cheaper adsorbent, which formed as coal fly ash. The coal fly ash is a...

Analysis of Natural Convection Heat Transfer from Rectangular Fin with Different Forms of Perforation Using Finite Element Analysis

This study examines the natural convective heat transfer from rectangular fins with different forms of perforations under natural convection. In this analysis six different forms of perforations are used with including...

Earlier Detection of Glaucoma using Empirical Wavelet Transform

Glaucoma is an ocular disorder caused due to increased fluid pressure in the optic nerve. It damages the optic nerve subsequently causes loss of vision. The available scanning methods are Heidelberg Retinal Tomography (...

Micro calcification Detection in Digital Mammograms Using Back propagation Neural Network

The most common and first method used to detect breast lesions is mammography. Due to less visibility, poor contrast and noisy nature of mammogram it is necessary to detect the small and non-noticeable cancers in early...

Review of Automatic Detection and control of Disease for Grape Field

This project gives the idea about Detection of various disease on grape field. Also provide the information about how to control this disease. India exported so many tons of grape every year. So, Grape played vital role...

Download PDF file
  • EP ID EP21375
  • DOI -
  • Views 268
  • Downloads 3

How To Cite

K. Swathi, S. Saranya, J. Dhivya Rubavathy (2015). Fault Diagnosis and Monitoring In Wind Turbine Using Can Bus. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(11), -. https://europub.co.uk/articles/-A-21375