Fig. 1. Target (a) blower motor system and (b) HVAC module.
Fig. 2. Sensor location on HVAC module for measurement of vibration.
Fig. 3. Wavelet decomposition of time signal using inverse wavelet transform.
Fig. 4. Two-dimensional illustration of the wavelet coefficients magnitude matrix.
Fig. 5. Impulse response of a linear underdampedsecond system; (a) time domain, (b) frequency domain.
Fig. 6. Auto-correlation spectrum of time-frequency algorism.
Fig. 7. The steps of the procedure for Tick/Click noise diagnosis of blower motor.
Fig. 8. Frequency spectrum and its smoothed result on frequency domain.
Fig. 9. Result of tick/click noise and tone noise diagnosis using time-frequency algorisms.
Table 1. Noise types and occurrence frequency of blower motor system.
Table 2. Rotating speed of blower motor according to its operating stage.
Table 3. The number of samples.
Table 4. The number of samples of diagnosed results.
References
- M. Lee, K. Ih, D. Hwang, and H. Lee, "Durability study of blower motor noise," (in Korean), Proc. of KSNVE Spring Conf. 1109-1113 (2007).
- S. Kim, Noise and vibration pattern classification for inspection system of blower motor malfunction (in Korean), (Master thesis, 1998).
- S. Park, "Reliability improvement of blower motor for automobiles based on analysis and reproduction of failure" (in Korean), Hyoseong Electric Ltd., Tech. Rep., 2008.
- N. G. Nikolaou and I. A. Antoniadis, "Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted morlet wavlets," Mech. Syst. Signal Process. 16, 677-694 (2002). https://doi.org/10.1006/mssp.2001.1459
- W. J. Staszewski, "Identification of damping in MDOF systems using time-scale decomposition," J. Sound Vib. 203, 283-305 (1997). https://doi.org/10.1006/jsvi.1996.0864
- J. Liu, W. Wang, F. Golnaraghi, and K. Liu, "Wavelet spectrum analysis for bearing fault diagnotics," Meas. Sci. Technol. 19 (2008).
- W. Su, F. Wang, H. zhu, Z. Zhang, and Z. Guo, "Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement," Mech. Syst. Signal Process. 24, 1458-1472 (2010). https://doi.org/10.1016/j.ymssp.2009.11.011
- G. Y. Luo, D. Osypiw, and M. Irle, "On-line vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing," J. Vib. Control 9, 931-947 (2003). https://doi.org/10.1177/10775463030098002
- B. S. Kim, S.H. Lee, M. G. Lee, J. Ni, J. Y. Song, and C. W. Lee, "A comparative study on damage detection in speed-up and coasr-down process of grinding spindle-typed rotor-bearing system," J. Master. Process. Technol. 187, 30-36 (2007).
- N. Baydar and A. Ball, "A comparative study of acoustic and vibration signals in detection of gear failures using wigner-ville distribution," Mech. Syst. Signal Process. 15, 1091-1107 (2001). https://doi.org/10.1006/mssp.2000.1338