Learning diagnostic system, state diagnostic device, and state learning device for working machine

Abstract

A learning diagnostic system for a working machine is capable of making a fault diagnosis of the working machine universally relative to various types of sensor information, and preventing a failure in the working machine by enabling a fault diagnosis even in a transient operating state that represents a transitional state between operating states. A state learning devicesorts inputted sensor datainto one under a steady operating state and one under a transient operating state, and generates, through learning, steady state dataand intermediate state data, each including a permissible error. A state diagnostic deviceuses the steady state datato determine whether an operating state of the working machine related to the inputted sensor data is the steady operating state or the transient operating state, and make a fault determination in the steady operating state. The state diagnostic devicealso uses the intermediate state datato make a fault determination in the determined transient operating state. The intermediate state dataalso includes intermediate point information.