Data correlation model for hydraulic fluid filter condition monitoring
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
- Parker Hannifin, Hydraulic and Industrial Process Filtration EMEA, Urjala, Finland
This study contributes to condition-based maintenance of hydraulic fluid filter units by establishing a correlation equation, based on comprehensive laboratory tests and incorporated in a simulation model, relating the pressure drop over the filter unit with the main variables describing the operating conditions of the fluid system as well as with filter operating time.
The paper describes how the correlation equation and the simulation model was constructed. The results indicate that good correlation was obtained (R-square value 0.98) with the constructed equation between the physical variables and the temporal development of the pressure drop over the filter. The model can be used as a building block for a smart filter unit that can predict its lifetime.
|Title of host publication||16th Scandinavian International Conference on Fluid Power, SICFP 2019|
|Publication status||Published - 22 May 2019|
|MoE publication type||A4 Article in a conference publication|
|Event||Scandinavian International Conference on Fluid Power - Tampere-talo, Tampere, Finland|
Duration: 22 May 2019 → 24 May 2019
Conference number: 16
|Conference||Scandinavian International Conference on Fluid Power|
|Period||22/05/2019 → 24/05/2019|
- hydraulic fluid filter, correlation model, condition monitoring