Komatsu Industries Corporation

Kouji Funabashi

Yusuke Masato

Eiji Doba

Taketoshi Fukumura

A predictive maintenance device for an industrial machine includes a determination model and a processor. The determination model has been trained by machine learning to output a possibility of an abnormality for each of a plurality of components by inputting state data. The state data indicates a state of a drive system of the industrial machine. The plurality of components are included in the drive system. The plurality of components are connected to each other so as to operate in conjunction with each other. The processor acquires the state data. The processor acquires the possibility of the abnormality in each of the plurality of components from the state data by using the determination model. The processor determines the component to be maintained from the plurality of components based on the possibility of the abnormality.

Predictive maintenance device, method, and system for industrial machine

A server displays information about a plurality of industrial machines on a display of a client computer. The server includes a storage device, a processor, and a communication device. The storage device stores state data indicative of states of a plurality of industrial machines. The processor determines remaining lives of the plurality of industrial machines from the state data. The processor generates data indicative of a machine list screen. The machine list screen includes identifiers of the plurality of industrial machines and the remaining lives. The communication device outputs the data indicative of the machine list screen to a client computer via a communication network.

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Ishikawa, Japan

Kouji Funabashi