| 摘要 |
A process for estimating the lubricant viscosity in a bearing (20) comprises the steps of: monitoring acoustic emissions from the bearing (20) with an acoustic emission sensor (28); monitoring the bearing (20) for at least one of speed, load and temperature; demodulating the acoustic emission signal from the acoustic emission sensor (28); calculating the root mean square values of the demodulated acoustic emission signal and storing the calculated root mean square values; aligning the root mean square values with values of one or more of speed, load and temperature and storing the aligned values; using the aligned root mean square values, and at least one of speed, load and temperature in a model which calculates viscosity and/or viscosity ratio from the aligned values. By doing so, the condition of the lubricated bearing (28) is monitored and multivariate regression analysis is used for estimating the viscosity of the lubricant and for modelling the life expectancy of the bearing (20). |
