Jtekt Corporation

Yuki Ishigure

Toshihiro Yonezu

Hiroshi Morita

Toshiyuki Tsuzuki

Sakon Murayama

Hisashi Otani

Koji Kito

Shuntaro Takasu

Asami Hara

Tatsuo Oshiumi

Koichi Kato

Natsuki Yabune

Tomohisa Kato

Akio Uchino

Tatiana Kundozerova

Toshihiko Yotsui

Yuya Saeki

Katsushi Kitamura

Hiroyuki Shibata

Takuya Murao

A life expectancy prediction system for a target tool includes a processing machine body, a detector to detect a state data, a learned model storage unit to store learned models generated by executing machine learning using training datasets, including an explanatory variable and an objective variable, the explanatory variable being the state data and the objective variable being a number of first remaining machining times, the learned model storage unit being to store the learned models, each for each of the tools and a remaining machining times prediction unit to select, based on the state data, one learned model and predict a number of second remaining machining times, using the one learned model and the state data.

Life expectancy prediction system for a tool

An abnormality detection apparatus for working tools configured to be used in a machining process performed by a machine tool, the abnormality detection apparatus includes a storage portion which previously stores correlations between features of a plurality of operating portions relation to the machining process performed by the machine tool, and a tool condition of each of a plurality of working tool types, and a tool condition determining portion which determines the tool condition of the working tools based on the correlations.

Abnormality detection apparatus for working tools

To provide a data processing device of production equipment that can generate data usable by an operator or an administrator by performing processing for a collected plurality of types of data. A data processing device includes a reference-data acquiring unit configured to acquire, in production equipment, reference data including information concerning time in which a reference for grouping of data operates, a target-data acquiring unit configured to acquire target data concerning a state of the production equipment detected by detectors provided in the production equipment, and a combined-data generating unit configured to generate, for each group of the reference data, combined data for each group obtained by combining, with the reference data, data detected in the same period of time as an operation period of time of the reference data in the target data.

Data processing device of production equipment

An analysis system includes detectors provided in an apparatus, first analysis devices each configured to generate processed data by performing predetermined processing on detection information from each of the detectors, and to evaluate an object to be evaluated based on the detection information from each of the detectors and on an evaluation pattern, and a second analysis device configured to update the evaluation pattern based on the processed data generated by each of the first analysis devices.

Analysis system

A plurality of production facilities and an analysis apparatus are connected through a fog network. The analysis apparatus performs a data analysis based on detection information of detectors acquired through the fog network and stores determination information relating to an abnormality of each of the plurality of production facilities or an abnormality of a production object as a result of the data analysis. Each of the plurality of production facilities determines an abnormality of the each of the plurality of production facilities or an abnormality of the production object based on the determination information stored in the analysis apparatus.

Abnormality analysis system and analysis apparatus

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Gifu, Japan

Yuki Ishigure