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

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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

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.

Keywords

bearing wear identification
rotor dynamics
full spectrum analysis
displacement data monitoring
operational rotating speed

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

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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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author = "Diogo Alves and Tiago Machado and Katia Cavalca and Gauthier Fieux and Patrick Keogh",

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T1 - A parametric model to identify hydrodynamic bearing wear at a single rotating speed

AU - Alves, Diogo

AU - Machado, Tiago

AU - Cavalca, Katia

AU - Fieux, Gauthier

AU - Keogh, Patrick

PY - 2021/1/1

Y1 - 2021/1/1

N2 - 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.

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.

KW - bearing wear identification

KW - rotor dynamics

KW - full spectrum analysis

KW - displacement data monitoring

KW - operational rotating speed

U2 - 10.1016/j.triboint.2020.106640

DO - 10.1016/j.triboint.2020.106640

M3 - Article

SN - 0301-679X

VL - 153

JO - Tribology International

JF - Tribology International

M1 - 106640

ER -

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

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Keywords

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