Volume 24, Issue 6 (June 2024)
Modares Mechanical Engineering 2024, 24(6): 351-362 |
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Vaghefi M, Tavallali M S, Jahedi R, Ghodsinejad A, Saadatfard M M. Polymer Gear Fault Detection Based on Audio Signal and Wavelet Packet Transform. Modares Mechanical Engineering 2024; 24 (6) :351-362
URL: http://mme.modares.ac.ir/article-15-74021-en.html
URL: http://mme.modares.ac.ir/article-15-74021-en.html
Mahsa Vaghefi1 
, Mohammad Sadegh Tavallali * 2, Reza Jahedi3 , Amirsaeed Ghodsinejad4 , Mohammad Masih Saadatfard4
, Mohammad Sadegh Tavallali * 2, Reza Jahedi3 , Amirsaeed Ghodsinejad4 , Mohammad Masih Saadatfard4
1- Islamic Azad University, Shiraz Branch & Department of Advanced Calculations, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz Branch, Islamic Azad University, Shiraz, Iran
2- Islamic Azad University, Shiraz Branch & Department of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran ,ms.tavallali@iau.ac.ir
3- Islamic Azad University, Shiraz Branch & Department of Applied Researches, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz Branch, Islamic Azad University, Shiraz, Iran
4- Islamic Azad University, Shiraz Branch
2- Islamic Azad University, Shiraz Branch & Department of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran ,
3- Islamic Azad University, Shiraz Branch & Department of Applied Researches, Chemical, Petroleum & Polymer Engineering Research Center, Shiraz Branch, Islamic Azad University, Shiraz, Iran
4- Islamic Azad University, Shiraz Branch
Abstract: (1281 Views)
Gears are a very important part of mechanical equipment in industry. Due to the fact that in mechanical processes, the teeth are subjected to long-term load, the surface of their teeth is usually rusty, worn out and even broken. Timely fault detection cannot only increase the life cycle of the gears, however it can even prevent property losses and losses due to breakdowns. Therefore, it is necessary to monitor and diagnose the health of the gears to ensure the normal operation of the invaluable machines in industry. In this research, fault detection in polymer gears using audio signal is considered as a non-contact inspection method. Sound signals were recorded from 50 pairs of gears in normal condition, worn teeth and broken teeth at two speeds of 66 and 99 rpm. In the following, using wavelet packet transformation (WPT), the sound signal is analyzed in the time-frequency domain and 12 statistical features are extracted from the 16 coefficients of the fourth level of WPT. In order to study the performance of the fault detection algorithm, four classifications of linear discriminant analysis, K-nearest neighbor, decision tree and support vector machine have been used. The values of accuracy, true positive rate, true negative rate, positive predictive value, negative predictive value, geometric-mean, F1 score, and Matthews correlation coefficient have shown that by using WPT, a significant distinction can be found between normal and faulty gears. Therefore, the proposed method is a suitable approach for timely error detection of polymer gears used in mechanical equipment.
Keywords: Fault Detection, Polymer Gear, Time-Frequency Domain, Wavelet Packet Transform, Non-Contact inspection
Article Type: Original Research |
Subject:
Non Destructive Test
Received: 2024/02/25 | Accepted: 2024/08/11 | Published: 2024/05/30
Received: 2024/02/25 | Accepted: 2024/08/11 | Published: 2024/05/30
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