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

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

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

sound

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

Persian Version

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

View:

71
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

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

Cites:

Information Journal Paper

Title

Design of the L90 automobile gearbox fault detection system using the audio signal analysis

Pages

  114-132

Abstract

 Gearboxes may be defective during the manufacturing, assembly or operation process. In gearbox manufacturing factories, it is important to identify defective gearboxes to prevent them from entering the consumption cycle. Audio signals indicate the operation of the gearbox and the condition of its internal components. Therefore, this system is a powerful method to diagnose the gearbox healthy or defective in different gears. In this study, intelligent gearbox troubleshooting using audio signals has been done. After receiving the audio signals, suitable algorithms for troubleshooting were proposed and based on that, the troubleshooting process was performed. In this test, the gearbox of the Thunder 90 passenger car in the assembly line was checked for the health or defect. The received audio signals are first processed in the time, frequency (fast Fourier transform) and time-frequency (discrete wavelet transform) domains. Then the feature was extracted from the processed signals in all three domains of time, frequency and time-frequency,Then, using the error test method and statistical inference method, the desired characteristics were selected for use in classification. Then, using various methods of Artificial Neural Network classification and support vector machine, the intelligent diagnostic process was performed. The results showed that the backup machine classification method on data processed with discrete wavelet transform has an average error of less than 9%. This error is less than the error of other signal processing and classification methods in this experiment.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    Zadshakoyan, Mohammad, & Gholami, Abolfazl. (2022). Design of the L90 automobile gearbox fault detection system using the audio signal analysis. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), 23(4 ), 114-132. SID. https://sid.ir/paper/1035629/en

    Vancouver: Copy

    Zadshakoyan Mohammad, Gholami Abolfazl. Design of the L90 automobile gearbox fault detection system using the audio signal analysis. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH)[Internet]. 2022;23(4 ):114-132. Available from: https://sid.ir/paper/1035629/en

    IEEE: Copy

    Mohammad Zadshakoyan, and Abolfazl Gholami, “Design of the L90 automobile gearbox fault detection system using the audio signal analysis,” JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), vol. 23, no. 4 , pp. 114–132, 2022, [Online]. Available: https://sid.ir/paper/1035629/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top