A parametric model to identify hydrodynamic bearing wear at a single rotating speed

Alves, Diogo Stuani; Fieux, Gauthier; Machado, Tiago; Keogh, Patrick; Cavalca, Kátia Lucchesi

doi:10.1016/j.triboint.2020.106640

Cited by 30 publications

(21 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The present paper, advances on [18] by aiming to assess the importance of using broad and reliable fault models to successfully achieve a model-based fault identification. Its unique contribution lies in showing that different fault models can be mathematically effective in the identification process, i.e.…”

Section: Machado and Stortimentioning

confidence: 99%

“…For this, the authors investigate the effects of the inclusion of geometric imperfections, due to the presence of the fault models of wear in two levels of detail, namely, bi-parametric and tri-parametric models. Therefore, the wear models developed in [13] and [18], as well as the identification procedure of [18], are used in this study. The model-based robustness in the fault diagnosis and fault parameter identification is analysed.…”

Section: Machado and Stortimentioning

confidence: 99%

“…However, as previously stated, the angular span of the wear is dependent on the maximum wear depth. An expansion in the parametric wear model [18] is introduced in which there is no relation between angular span and maximum depth, i.e., these parameters are completely independent variables. The authors used an elliptical shape to approach the wear geometry, as presented in Fig 2b . The intersection points between the ellipse and the bearing radius define the initial and final wear angular span.…”

Section: Wear Modellingmentioning

confidence: 99%

“…However, there was still an issue to be answered, namely, after the detection of bearing wear, what could be expected in term of fault parameters identification regarding the model-based robustness and reliability? Under this perspective, Alves et al [18] improved further the model proposed in [13], assuming an elliptical wear geometry with three independent wear parameters: depth, angular span and angular position in the bearing wall. In [18] the authors experimentally validated a new developed wear geometry.…”

Section: Introductionmentioning

confidence: 99%

“…Under this perspective, Alves et al [18] improved further the model proposed in [13], assuming an elliptical wear geometry with three independent wear parameters: depth, angular span and angular position in the bearing wall. In [18] the authors experimentally validated a new developed wear geometry. The main point, however, was the proposition of a wear identification procedure which needed the vibration signal of a single rotating speed to obtain the wear parameters.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Investigation of Fault Modeling in the Identification of Bearing Wear Severity

Alves

Machado

Tuckmantel

et al. 2021

Journal of Tribology

Self Cite

View full text Add to dashboard Cite

Recent research into machines involved in the power generation process has demanded deep investigation of model-based techniques for fault diagnosis and identification. The improvement of critical fault characterisation is crucial in the maintenance process effectiveness, hence in time/costs saving, increasing performance and productivity of the whole system. Consequently, this paper deals with a common fault in hydrodynamically lubricated bearings assembled in rotating systems, namely, that of abrasive wear. Research on this topic points to an interesting query about the significance of model detail and complexity and the identification of its characteristic parameters for the important stages of fault diagnosis and fault identification. For this purpose, two models are presented and analysed in their completeness concerning the fault signature by vibration measurements, as well as the identification of fault critical parameters which determine the machine lifetime estimation, maintenance procedures and time costs regarding performance and productivity. From this study, the detailing in fault modelling has a substantial impact on fault parameter identification, even if its improvement is not so expressive in fault diagnosis procedures involving standard signal processing techniques of vibration signatures.

show abstract

Section: Machado and Stortimentioning

confidence: 99%