Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Wireless Machine Wear Condition Monitoring Using ZigBee Technology

Author : Kushal Kumar 1 Pardeep Singh 2 Sheikh Adnan Gul 3 Adnan Zaib Bhat 4 Pawan Kumar 5 Mohsin Ayaz Wani 6

Date of Publication :1st January 2018

Abstract: Advanced sensor technology has brought the automated real-time condition monitoring system. To decrease the rate of accidental failures, increase productivity, reduce time lags, Condition Monitoring has been increasingly used. It is a predictive maintenance technology and can greatly reduce time and efforts in detecting failures. The wide variety of condition monitoring techniques available make it possible to detect failures way before the machines actually fail. Condition monitoring is very prompt technology and avoids unnecessary and incessant manual checking which becomes quite cumbersome and has greater chances of negligence. In this paper, the emphasis is laid on the use of Condition Monitoring technology to prevent accidents due to failures and to make an advanced inventory preparedness

Reference :

    1. R.A Collect “condition monitoring” published by Mc Graw Hill, New Delhi 1998.
    2.  L. Hou and N. W. Bergmann, “Novel industrial wireless sensor networks for machine condition monitoring and fault diagnosis,” IEEE Trans. Instrum. Meas., vol. 61, no. 10, pp. 2787–2798, Oct. 2012
    3. H. C. Mohring and O. Bertram, “Integrated autonomous monitoring of ball screw drives,” CIRP Ann. Manuf. Technol., vol. 61, no. 1, pp. 355–358, 2012.
    4.  F. Salvadori et al., “Monitoring in industrial systems using wireless sensor network with dynamic power management,” IEEE Trans. Instrum.Meas., vol. 58, no. 9, pp. 3104–3111, Sep. 2009.
    5. K. Shahzad, P. Cheng, and B. Oelmann, “Architecture exploration for a high-performance and low-power wireless vibration analyzer,” IEEE Sensors J., vol. 13, no. 2, pp. 670– 682, Feb. 2013.
    6. R B Randall, Vibration-Based Condition Monitoring: Industrial, Automotive and Aerospace Applications, John Wiley and Sons Limited, First Edition, 2011
    7. Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry. Bourassa D, Gauthier F, Abdul-Nour G.NCBI PubMed 2016

Recent Article