Patent ID: 9074348
Filing Date: 2015-07-07
Classification: B60R,E02F,F02D,G05B,G07C

Abstract:
1. A learning diagnostic system for a working machine that includes a machine body mounted with a working implement, the learning diagnostic system detecting a state quantity of the working machine with a sensor and inputting the data as running data to thereby detect a fault in an operating state of the working machine using the running data, the system comprising: a state learning device for sorting the inputted running data inputted continuously at predetermined time intervals from the sensor into first running data when the operating state of the working machine is a steady operating state and second running data when the operating state of the working machine is an intermediate operating state, learning the operating state of the working machine based on the sorted first and second running data, and generating diagnostic steady state information and diagnostic intermediate state information, each including a median and a permissible error; and a state diagnostic device for determining, using the inputted running data and the diagnostic steady state information including the median and permissible error and generated in the state learning device, whether the operating state of the working machine related to the inputted running data is the steady operating state or the intermediate operating state, while making a fault determination in the determined steady operating state, and using the diagnostic intermediate state information including the median and permissible error and generated in the state learning device to make a fault determination in the determined intermediate operating state, wherein: the state learning device selects, of the second running data when the operating state is the intermediate operating state, running data in an interval continuous with respect to time; selects, of the first running data when the operating state is the steady operating state, running data in two steady operating states before and after transition to the intermediate operating state in which the running data is selected; and generates the intermediate state information based on the running data selected in the two steady operating states and the running data selected in the intermediate operating state; and the state diagnostic device searches through the diagnostic intermediate state information generated in the state learning device based on the two steady operating states before and after the transition to the determined intermediate operating state to thereby extract corresponding diagnostic intermediate state information, and makes a fault determination in the determined intermediate operating state based on the determined intermediate operating state and the extracted diagnostic intermediate state information; and wherein the state learning device generates the diagnostic intermediate state information based on the running data selected in the two steady operating states and the running data selected in the intermediate operating state by calculating intermediate point information that approximates the running data selected in the intermediate operating state with plurality of straight lines, using the calculated intermediate point information as said median and generating the diagnostic intermediate state information including the median and the permissible error; and the state diagnostic device generates, in the determined intermediate operating state, supplementary data based on the intermediate point information generated in the state learning device, and makes a fault determination using the supplementary data and the median and permissible error.