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

Diogo Alves; Tiago Machado; Katia Cavalca; Gauthier Fieux; Patrick Keogh

doi:10.1016/j.triboint.2020.106640

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

Diogo Alves
, Tiago Machado
, Katia Cavalca
, Gauthier Fieux
, Patrick Keogh

Universidade Estadual de Campinas

Research output: Contribution to journal › Article › peer-review

38 Citations (SciVal)

234 Downloads (Pure)

Abstract

For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery. If it is a wear fault, the bearing clearance is affected changing the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings is analysed to observe the vibration behaviour in presence of bearing wear. Spectral analysis is used to understand intact and worn bearing characteristics and to identify wear severity. For the wear, an improved and new parametric model is generated to increase simulation accuracy. The new approach indicates the severity of wear in the studied hydrodynamic bearings.

Original language	English
Article number	106640
Number of pages	33
Journal	Tribology International
Volume	153
Early online date	12 Sept 2020
DOIs	https://doi.org/10.1016/j.triboint.2020.106640
Publication status	Published - 1 Jan 2021

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Funding

The authors thank The São Paulo Research Foundation - FAPESP - , grants #2015/20363-6 , #2018/21581-5 and #2018/24600–0 for the financial support. Fig. 1 shows the rotor used for this paper. It comprises a rotor supported by active magnetic (AMB 1 and AMB 2) and hydrodynamic bearings. It is possible to use the Finite Element Method to represent the system and calculate the energies of each individual element as a function of the nodal displacements. Then, applying Lagrange's equations one can find the equation of motion of the rotor-bearing system [29]:The rotor is supported by two 8-pole radial magnetic bearings (AMB 1 and AMB 2) and one radial hydrodynamic journal bearing. The magnetic bearings are 60 mm wide and have a diameter of 177.8 mm, with a magnetic air gap of 1.2 mm. A touch-down bearing, having a radial clearance of 0.7 mm, is mounted adjacent to each AMB on the inboard side. The hydrodynamic journal bearing used in this work has a diameter of 67.38 mm, is 38 mm wide and has a radial clearance of 185 ?m. Since the shaft has a lower diameter than the bearing, the manufacture of a stainless-steel journal sleeve allows adjustment of the clearance. A flexible coupling connects the shaft to the Alpak 5.5 kW induction motor. The coupling allows misalignments between motor and rotor, and also reduces the influence of the motor behaviour on the system.The authors thank The S?o Paulo Research Foundation - FAPESP -, grants #2015/20363-6, #2018/21581-5 and #2018/24600?0 for the financial support.

Funders	Funder number
S?o Paulo Research Foundation
Fundação de Amparo à Pesquisa do Estado de São Paulo	2018/21581-5, 2015/20363-6, 2018/24600?, 2018/24600–0

Keywords

Bearing wear identification
Displacement data monitoring
Full spectrum analysis
Operational rotating speed
Rotor dynamics

ASJC Scopus subject areas

Mechanics of Materials
Mechanical Engineering
Surfaces and Interfaces
Surfaces, Coatings and Films

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10.1016/j.triboint.2020.106640

paper_r1_v1 accepted.PDFAccepted author manuscript, 2.12 MBLicence: CC BY-NC-ND

Cite this

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title = "A parametric model to identify hydrodynamic bearing wear at a single rotating speed",

abstract = "For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery. If it is a wear fault, the bearing clearance is affected changing the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings is analysed to observe the vibration behaviour in presence of bearing wear. Spectral analysis is used to understand intact and worn bearing characteristics and to identify wear severity. For the wear, an improved and new parametric model is generated to increase simulation accuracy. The new approach indicates the severity of wear in the studied hydrodynamic bearings.",

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AU - Fieux, Gauthier

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AB - For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery. If it is a wear fault, the bearing clearance is affected changing the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings is analysed to observe the vibration behaviour in presence of bearing wear. Spectral analysis is used to understand intact and worn bearing characteristics and to identify wear severity. For the wear, an improved and new parametric model is generated to increase simulation accuracy. The new approach indicates the severity of wear in the studied hydrodynamic bearings.

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

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

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