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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.

The advent of innovation compelled scholars to go beyond personal ideological views towards sustainable issues, consequently losing the perspective of technological freedom. With that in mind, the polarised technological landscape in which industrial maintenance finds itself seems to exhibit more philosophical behaviour, as observed by the exponential rise of narrative reviews. Nevertheless, in the face of the industrial “Fourth Wave”, academicians who govern scientific advancement of maintenance, underpinned with Research and Innovation funds, seem to be disseminating excess scientific tutelage rather than productively altering maintenance, which provoked us to conduct a twofold analysis. Firstly, based on the Evidence-Based Approach (EBA), we systematically analyse maintenance-related EU projects. Secondly, to align with Green Deal EU targets by fostering decarbonisation of asset-intensive industries, we utilise the Preferred Reporting Items and Meta-Analyses (PRISMA) framework for analysing energy-dedicated maintenance literature. The evidence suggests that ongoing research includes optimisation of maintenance activities for the sake of sustainability, on one side, while on the other, evidence suggests that energy consumption parameters can be considered as maintenance indicators used for diagnostic and prognostic feature selection purposes. Finally, results provide several insights: (1) absence of sustainability indicators in decision-making is a strong argument for the lack of maintenance impact in Industry 4.0, (2) manufacturing sector represents the first momentum of Energy-Based Maintenance evolution, and (3) gentrification and technology transfer activities will enable the smoother transition of sustainable maintenance practice.