Vibration-based diagnostics of epicyclic gearboxes - From classical to soft-computing methods

被引:22
作者
Jablonski, Adam [1 ]
Dworakowski, Ziemowit [1 ]
Dziedziech, Kajetan [1 ]
Chaari, Fakher [2 ]
机构
[1] AGH Univ Sci & Technol, Dept Robot & Mechatron, Al A Mickiewicza 30, PL-30059 Krakow, Poland
[2] Natl Sch Engineers Sfax, Lab Mech Modelling & Prod, BP 1173, Sfax 3038, Tunisia
关键词
Epicyclic gearbox; Planetary gearbox; Condition monitoring; Machine diagnostics; WIND TURBINE GEARBOX; EMPIRICAL MODE DECOMPOSITION; SUPPORT VECTOR MACHINES; TIME-FREQUENCY ANALYSIS; OF-THE-ART; SIGNAL-PROCESSING TECHNIQUES; ARTIFICIAL NEURAL-NETWORKS; CYCLIC SPECTRAL-ANALYSIS; EARLY FAULT-DETECTION; PLANETARY GEARBOX;
D O I
10.1016/j.measurement.2019.07.039
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The paper presents up-to-date multidisciplinary review of scientific knowledge and industrial guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis of vibrational measurement. The paper covers norms, patents, signal processing methods, technical features, diagnostic methodologies, and high-level soft computing. The review classifies recognized papers according to different aspects, like case difficulty, applied methods or studied objects. Moreover, the paper discusses recent development of diagnostic techniques taking into account changing operational conditions and requiring powerful data processing units not available hitherto. Since in recent years many partial review papers have been published in different journals, the current paper presents their individual scope. Because diagnostics of epicyclic gearboxes generally covers and extends the classical signal processing techniques and classical machine condition monitoring functionality, the current paper might serve as a descriptive database of sources of information and bibliography or as a reference to individual techniques. (C) 2019 Elsevier Ltd. All rights reserved.
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页数:24
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