مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

711
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

FAULT DETECTION BY INTEGRATING CANONICAL VARIATE ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS BASED ON LOCAL OUTLIER FACTOR

Pages

  151-157

Abstract

 In this paper a novel process monitoring scheme is proposed because of the importance of fault detection and identification in industrial processes. In this method, process dynamic and effect of outliers are considered concurrently. First, the proposed approach uses CVA method to implement the process dynamic. Then ICA method is performed for dimension reduction of data. The outliers elimination and control limit calculation are based on the LOCAL OUTLIER FACTOR algorithm. This algorithm doesn’t consider a special distribution for process variables, thus conforming to data in real industrial processes. The proposed method is applied to fault detection in the TENNESSEE EASTMAN PROCESS. Results clearly indicate better performance of the proposed scheme compared to the alternative methods.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    TAVASOLIPOUR, E., HAMIDI BEHESHTI, M.T., & RAMEZANI, A.. (2015). FAULT DETECTION BY INTEGRATING CANONICAL VARIATE ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS BASED ON LOCAL OUTLIER FACTOR. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 13(2), 151-157. SID. https://sid.ir/paper/228547/en

    Vancouver: Copy

    TAVASOLIPOUR E., HAMIDI BEHESHTI M.T., RAMEZANI A.. FAULT DETECTION BY INTEGRATING CANONICAL VARIATE ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS BASED ON LOCAL OUTLIER FACTOR. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2015;13(2):151-157. Available from: https://sid.ir/paper/228547/en

    IEEE: Copy

    E. TAVASOLIPOUR, M.T. HAMIDI BEHESHTI, and A. RAMEZANI, “FAULT DETECTION BY INTEGRATING CANONICAL VARIATE ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS BASED ON LOCAL OUTLIER FACTOR,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 13, no. 2, pp. 151–157, 2015, [Online]. Available: https://sid.ir/paper/228547/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button