A Signal Processing Approach for the Failure Analysis of Rolling-Element Bearing of Vehicle Brake Tester Used at a Vehicle Inspection Station
| Autor: | Selman Kulac |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Bearing (mechanical)
Computer science business.industry Autocorrelation 02 engineering and technology Structural engineering 01 natural sciences law.invention Vibration 020303 mechanical engineering & transports 0203 mechanical engineering Rolling-element bearing law Frequency domain 0103 physical sciences Median filter Failure analysis rolling-element bearing signal processing vehicle roller brake tester vibration measurement vibration signal processing business 010301 acoustics Goertzel algorithm Vehicle inspection |
| Zdroj: | EWDTS |
| DOI: | 10.1109/ewdts.2019.8884463 |
| Popis: | 2019 IEEE East-West Design and Test Symposium, EWDTS 2019 -- 13 September 2019 through 16 September 2019 -- 153914 In this study, failure analysis of rolling-element bearing of vehicle brake tester used in a vehicle inspection station was considered according to the real time vibration signals. Based on vibration measurements under loads taken at intervals of about 15 days, these real time vibration signals were subjected to median filtering firstly. The total difference method proposed with this paper using autocorrelation functions' maximum and minimum values for each vibration signal was applied. Lastly, Goertzel algorithm has been used in order to obtain amplitude of specific defect frequency sample with a minimum calculation complexity for vibrational failure analysis of rolling-element bearing for the first time with this paper. It is verified with this paper that as the time passes, the values obtained by all methods above increase and excess the thresholds determined by this paper. © 2019 IEEE. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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