Learning diagnostic system of a working machine, state diagnostic device, and state learning device

摘要

A learning diagnostic system of a working machine, wherein the general error diagnosis of the working machine can be conducted for various items of sensor information. Moreover, failure of the working machine is prevented beforehand by enabling error diagnostics even in the transient operating state which is the transition state between operating states. A state learning device (201) classifies input sensor data (101a) into the stationary operating state and the transient operating state and uses learning to generate stationary state data (102a) and intermediate state data (103a) which include respective permissible errors. A state diagnostic device (202) uses the stationary state data (102a) to identify whether the operating state of the working machine related to the input sensor data is in the stationary operating state or the transient operating state, and conducts an error determination in the stationary operating state, and uses the intermediate state data (103a) to conduct the error determination in the identified transient operating state. The intermediate state data (103a) also includes intermediate point information.