This work presents how to improve the performance of the truck-mounted hydraulic crane. This goal is achieved by developing a novel hydraulic solution to reduce the energy dissipation often introduced by the current state of the art methods and developing a condition monitoring model to detect and predict components’ failures.
In general, fluid power technology represents an excellent solution for agricultural and construction applications due to its ability to handle heavy loads. The category that operates suspended loads, such as cranes or telehandlers, often uses a variable load-dependent meter-out restriction in their hydraulic architecture, which is the counterbalance valve, to create the right counterpressure to control the load during the lower operation. However, this solution presents a relevant amount of energy loss associated with the functioning of a CBV.
By adopting the novel hydraulic solution presented in this work and the MAP-based control strategy, it is possible to achieve up to 75% of energy saving in the entire cycle.
The second strategy to improve the hydraulic crane’s performance is by monitoring the status of the components in the system. This work presents a model-based approach to detect the faults based on the generation of synthetic data and the random forest algorithm’s use, and it shows the 90 % of accuracy for the fault detection in the simulation environment.