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Ball Bearing Fault Diagnosis Using Recurrence Analysis
Lublin Univ Technol, Fac Mech Engn, Dept Appl Mech, PL-20618 Lublin, Poland..
Polish Bearing Factory, PL-23204 Krasnik, Poland..
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences. Natl Tech Univ, Dept Appl Math, Kharkiv Polytechn Inst, UA-61002 Kharkiv, Ukraine..
2022 (English)In: Materials, E-ISSN 1996-1944, Vol. 15, no 17, article id 5940Article in journal (Refereed) Published
Abstract [en]

This paper presents the problem of rolling bearing fault diagnosis based on vibration velocity signal. For this purpose, recurrence plots and quantification methods are used for nonlinear signals. First, faults in the form of a small scratch are intentionally introduced by the electron-discharge machining method in the outer and inner rings of a bearing and a rolling ball. Then, the rolling bearings are tested on the special laboratory system, and acceleration signals are measured. Detailed time-dependent recurrence methodology shows some interesting results, and several of the recurrence indicators such as determinism, entropy, laminarity, trapping time and averaged diagonal line can be utilized for fault detection.

Place, publisher, year, edition, pages
2022. Vol. 15, no 17, article id 5940
Keywords [en]
bearing defect, diagnosis, recurrence plot, recurrence quantifications
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-46081DOI: 10.3390/ma15175940ISI: 000851976300001PubMedID: 36079322Scopus ID: 2-s2.0-85137943944OAI: oai:DiVA.org:miun-46081DiVA, id: diva2:1696320
Available from: 2022-09-16 Created: 2022-09-16 Last updated: 2024-07-04Bibliographically approved

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