Water pollution is one of the most susceptible pollution of turbine oil. Based on the testability of turbine oil's operating characteristics, which includes viscosity, density, dielectric constant, moisture and degree of wear particle contamination and so on, a turbine oil online monitoring simulation platform was designed. It is used to simulate the flow of turbine oil in an independent circulation system. In the process of experiment, we can get the effect to operating characteristics of turbine oil while water is involved in. Appropriate sensors were selected to design the testing workbench, and the monitoring environment was well controlled. Then the dielectric constant and particle concentration were chosen as experimental characteristic parameters. Dielectric constant reflects the water content in oil. The variation of dielectric constant and particle concentration under different temperatures and water content of turbine oil can be analyzed. And the mechanism was discussed. The influence of temperature and water content to the measurement of particle concentration can also be observed and fundamental mutual effect of them can be found. Experiment result shows that the temperature and water content of oil have influence to some extent on the monitoring results of turbine oil wear particle concentration, and a correction method also can be found to resolve this problem. (C) 2017 Elsevier B.V. All rights reserved.