Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing
Joint Authors
He, Yu-Ling
Tang, Gui-Ji
Wang, Xiaolong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-11
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
The defect characteristics of rolling bearing are difficult to excavate at the incipient injury phase; in order to effectively solve this issue, an original strategy fusing recursive singular spectrum decomposition (RSSD) with optimized cyclostationary blind deconvolution (OCYCBD) is put forward to achieve fault characteristic enhanced detection.
In this diagnosis strategy, the data-driven RSSD method without predetermined component number is proposed.
In addition, a new morphological difference operation entropy (MDOE) indicator, which takes advantage of morphological transformation and Shannon entropy, is developed for confirming the influencing parameters of cyclostationary blind deconvolution (CYCBD).
During the process of fault detection, RSSD is firstly adopted to preprocess the original signal, and the most sensitive singular spectrum component (SSC) is selected by the envelope spectrum peak (ESP) indicator.
Then, the grid search algorithm is adopted to precisely confirm the optimal parameters and OCYCBD is further performed as a postprocessing technology on the most sensitive component to suppress the residual interferences and amplify the fault signatures.
Finally, the enhanced fault detection of rolling bearing is able to achieve by analyzing the envelope spectrum of deconvolution signal.
The feasibility of the proposed strategy is verified by the simulated and the measured signals, respectively, and its superiority is also demonstrated through several comparison methods.
The results manifest this novel strategy has praisable advantages on weak characteristic extraction and intensification.
American Psychological Association (APA)
Wang, Xiaolong& Tang, Gui-Ji& He, Yu-Ling. 2020. Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing. Complexity،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1142455
Modern Language Association (MLA)
Wang, Xiaolong…[et al.]. Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing. Complexity No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1142455
American Medical Association (AMA)
Wang, Xiaolong& Tang, Gui-Ji& He, Yu-Ling. Application of RSSD-OCYCBD Strategy in Enhanced Fault Detection of Rolling Bearing. Complexity. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1142455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142455