1. Applying Contamination Control for Improved Prognostics and Health Management of Hydraulic Systems
- Author
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Mitar Jocanović, Marko Orošnjak, and Velibor Karanović
- Subjects
Contamination control ,Computer science ,Condition-based maintenance ,Prognostics ,Condition monitoring ,Energy consumption ,Contamination ,Hydraulic machinery ,Reliability engineering ,Efficient energy use - Abstract
Contamination control is one of the most critical methodologies in preserving the integrity of hydraulic systems. Besides contamination controls’ contribution in achieving higher reliability and efficient energy utilisation, it also enables flexible and precise motion control of actuators. Therefore, in conducting condition-based maintenance (CBM), contamination control must be considered as an integral part of the same maintenance policy. To fill these gap authors firstly extracted all the relevant information of the current state-of-the-art research, discussed the drawbacks within current oil contamination control procedures, and proposed an adequate prognosis and health management approach for oil condition monitoring. In that sense, the authors used a rapid literature review based on Cochrane’s systematic review guidelines. The literature shows that most of the studies are focused on filter management techniques. However, neglecting oil degradation could lead to the inadequate prognosis of the system operational state. Therefore, the authors analysed a real-case agricultural tractor and additionally monitored parameters like viscosity, pour point, flash, and spectrometric analysis, besides using conventional automatic particle counter (APC) for oil monitoring. The results showed that the critical point of accelerated wear is the first 300 h of agricultural tractor operation. The underlying reason is that silicon particles are an instigator of surface degradation, consequently, influence the rise of ferrous and copper particles. With the increase of wear within components (e.g. pump, and valve), the flow increases, pressure-demand, temperature, vibration, leaks, etc. In that regard, energy consumption is higher, which, even without a failure, causes a production loss. Based on the results, the authors suggest that future research should be more dedicated to energy-based maintenance (EBM) in terms of maintaining quality and assessment of reliability.
- Published
- 2020