Fault prediction in hydraulic systems
Abstract:
Fault prediction improvements are provided herein via pruning a dataset by selecting a subset of the dataset for use as a pruned dataset, wherein the pruned dataset includes pressure data for a hydraulic system correlated in time with command signals for a plurality of deployment events of the hydraulic system, and in response to determining that a given pressure value for a given deployment event in the pruned dataset satisfies a low pressure threshold and that a change in pressure values over time during the given deployment event satisfies a pressure slope threshold, generating a service message for the hydraulic system that indicates that the hydraulic system is in a prefault state.
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