“…This can be attributed to metal-to-metal rubbing and the rise in concentration of wear particles in the lubricating oil. 18,23…”
Section: Analysis Of Temperaturementioning
confidence: 99%
“…This can be attributed to metal-to-metal rubbing and the rise in concentration of wear particles in the lubricating oil. 18,23 Figure 1.Temperature of the bearing; error bars represent standard deviation.…”
Section: Collection and Analysis Of The Samplementioning
Analysis of wear debris, vibration and temperature of journal bearing has been integrated to increase the accuracy in fault diagnosis of a hydropower plant. Samples of used lubricating oil, vibration data and bearing temperature at different intervals were collected. Wear particles and acceleration caused by vibration were analysed for the fault detections. An abnormal increase in the temperature and vibrational energy was observed after 200 days of continuous operations. In the last sample, an abnormal increase in aspect ratio of the wear particles was also observed. Scratches and wiping mark were found over the surface of bearing block and side thrust pad. This confirmed the fault of machine by the analysis of condition monitoring data. Further rectification was done by the replacement of bearing block.
“…This can be attributed to metal-to-metal rubbing and the rise in concentration of wear particles in the lubricating oil. 18,23…”
Section: Analysis Of Temperaturementioning
confidence: 99%
“…This can be attributed to metal-to-metal rubbing and the rise in concentration of wear particles in the lubricating oil. 18,23 Figure 1.Temperature of the bearing; error bars represent standard deviation.…”
Section: Collection and Analysis Of The Samplementioning
Analysis of wear debris, vibration and temperature of journal bearing has been integrated to increase the accuracy in fault diagnosis of a hydropower plant. Samples of used lubricating oil, vibration data and bearing temperature at different intervals were collected. Wear particles and acceleration caused by vibration were analysed for the fault detections. An abnormal increase in the temperature and vibrational energy was observed after 200 days of continuous operations. In the last sample, an abnormal increase in aspect ratio of the wear particles was also observed. Scratches and wiping mark were found over the surface of bearing block and side thrust pad. This confirmed the fault of machine by the analysis of condition monitoring data. Further rectification was done by the replacement of bearing block.
“…For the completeness of the present work, the numerical analysis of a real journal bearing is presented in the following. The recent experimental results published by Giraudeau et al [10] in 2016 for a two-lobe journal bearing with axial supply grooves were used for comparing numerical The LPCM results obtained with different numbers of Lobatto points were compared with the reference NDM solution. In Figure 21a, the relative difference drops rapidly and remains below 1%, starting with 13 Lobatto points.…”
Section: Example Of a Two-lobe Journal Bearingmentioning
confidence: 99%
“…For the completeness of the present work, the numerical analysis of a real journal bearing is presented in the following. The recent experimental results published by Giraudeau et al [10] in 2016 for a two-lobe journal bearing with axial supply grooves were used for comparing numerical predictions with experimental results. The length of the tested bearing was 68.4 mm and its diameter was 100 mm.…”
Section: Example Of a Two-lobe Journal Bearingmentioning
The present work is focused on the numerical solution of the complete energy equation used in fluid film lubrication. The work was motivated by the fact that the complete energy equation has no analytical solution that can be used for validations. Its accuracy and computation time are related to the employed numerical method and to the grid resolution. The natural discretization method (NDM) applied on different grids is systematically compared with the spectral method (the Lobatto Point Colocation Method or LPCM) with different polynomial degrees. A one dimensional inclined slider is used for the numerical tests, and the energy equation is artificially decoupled from the Reynolds equation. This approach enables us to focus all the attention on the numerical solution of the energy equation. The results show that the LPCM is one or two orders of magnitude more efficient than the NDM in terms of computation time. The energy equation is then coupled with the Reynolds equation in a thermo-hydrodynamic analysis of the same 1D slider; the numerical results confirm again the efficiency of the LPCM. A thermo-hydrodynamic analysis of a two-lobe journal bearing is then presented as a practical application.
“…In the same period, Branagan [12] published a survey on damaged bearings where he collected several analyses to understand the sources and consequences of damage on Babbitted industrial bearings, both hydrodynamic and hydrostatic. Giraudeau et al [13] also numerically evaluated the influence of several scratch parameters (depth, extent, density, etc.) for a two-lobe journal bearing.…”
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