title: Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time-frequency ridge enhancement.
abstract: Healthy rolling element bearings are vital guarantees for safe operation of the rotating machinery. Time-frequency (TF) signal analysis is an effective tool to detect bearing defects under time-varying shaft speed condition. However, it is a challenging work dealing with defective characteristic frequency and rotation frequency simultaneously without a tachometer. For this reason, a technique using the generalized synchrosqueezing transform (GST) guided by enhanced TF ridge extraction is suggested to detect the existence of the bearing defects. The low frequency band and the resonance band are first chopped from the Fourier spectrum of the bearing vibration measurements. The TF information of the lower band component and the resonance band envelope are represented using short-time Fourier transform, where the TF ridge are extracted by harmonic summation search and ridge candidate fusion operations. The inverse of the extracted TF ridge is subsequently used to guide the GST mapping the chirped TF representation to the constant one. The rectified TF pictures are then synchrosqueezed as sharper spectra where the rotation frequency and the defective characteristic frequency can be identified, respectively. Both simulated and experimental signals were used to evaluate the present technique. The results validate the effectiveness of the suggested technique for the bearing defect detection.
authors.affiliation: Research Center of System Health Maintenance, Chongqing Technology and Business University, Chongqing 400067, China; Department of Mechanical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador. Electronic address: chuanli@21cn.com.
authors.forename: Chuan
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Mechanical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador.
authors.forename: Vinicio
authors.initials: V
authors.lastname: Sanchez
authors.affiliation: Department of Mechanical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador.
authors.forename: Grover
authors.initials: G
authors.lastname: Zurita
authors.affiliation: Department of Mechanical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador.
authors.forename: Mariela
authors.initials: M
authors.lastname: Cerrada Lozada
authors.affiliation: Department of Mechanical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador.
authors.forename: Diego
authors.initials: D
authors.lastname: Cabrera
keywords: Defect detection; Generalized synchrosqueezing transform; Rolling element bearing; Short-time Fourier transform; Time–frequency ridge