IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i2idhcseit1722292.html

Electronics System Design of Preventive Operation for Industrial Need

Author

Listed:
  • Subodh Panda
  • Chandni Jaiswal
  • Afshan Perween
  • Nazia Perween

Abstract

In the power generation industry, any failures may lead to blackouts which can have very severe impact on many (or actually most) aspects of our life and can cripple many services, which are crucial to our well-being. Therefore, minimizing outages and preventing plant equipment failures is becoming a critical issue for power plant operators. While condition monitoring of The most critical machines as turbines, compressors, like ID fans, FD fans ,PA fans, BFP, CWP, CEP, Mill Motors , boiler feed pumps and other big machinery, seem to be receiving the same level of attention from engineers. Failure of these machines may have catastrophic impact on the power plant operation, therefore it was decided to investigate a possibility of developing a system, which would trigger a warning in case of suspicious machine behavior. The aim of the research work was to analyze data in order to develop an alarm system which signals a warning in case of abnormal state of operation and, consequently, can be used to improve the maintenance regime through investigate condition monitoring,Data analysis ,System

Suggested Citation

  • Subodh Panda & Chandni Jaiswal & Afshan Perween & Nazia Perween, 2017. "Electronics System Design of Preventive Operation for Industrial Need," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 892-894, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722292
    Note: Article URL: https://ijsrcseit.com/CSEIT1722292
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1722292
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT1722292.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722292. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.