Hitachi Power Solutions Co., Ltd.

Tsuru Educational Foundation

Shouzou Miyabe

Hisae Shibuya

Tadashi Suzuki

Shunji Maeda

Akiyoshi Komura

Koichi Ishiguro

Toujirou Noda

Kohei Funahara

Shun Shinohara

Naoki Miyakoshi

Iwao Nakajima

Toshiaki Kobari

Kazumasa Ide

Hiroshi Fujiwara

Takashi Yoshizawa

A friction stir welding apparatus includes a welding tool that includes a shoulder and a probe supported by the shoulder, is inserted into a plurality of welding target members, and moves while rotating to weld the plurality of welding target members, a spindle motor that is coupled to the welding tool to rotate the welding tool in a predetermined direction, a welding head that supports the spindle motor, and an apparatus body that supports the welding head, applies a drive signal to the spindle motor, and moves the welding tool along a welding line while rotating the welding tool. The apparatus body has a first correction mode in which a welding tool position indicating a position of the welding tool in a Z-axis direction is corrected based on a variable correction quantity calculated by a predetermined operational expression according to a fluctuation quantity of a state quantity indicating a control quantity of the welding head in a Z-axis upper direction or a Z-axis lower direction when friction stir welding is performed on the welding target members by the welding tool, and a second correction mode in which the welding tool position is corrected based on a preset fixed correction quantity according to the fluctuation quantity.

Friction stir welding apparatus and friction stir welding method

A phenomenon pattern extraction unit extracts a phenomenon pattern of a past sensor signal of a facility. A related information correlation unit correlates the sensor signal based on maintenance history information. A phenomenon pattern classification reference creation unit creates a classification reference for classifying a phenomenon pattern based on the extracted phenomenon pattern and a work keyword included in the maintenance history information correlated with the sensor signal as the source of the phenomenon pattern. A phenomenon pattern classification unit classifies the phenomenon pattern based on the classification reference. A diagnosis model creation unit creates a diagnosis model for estimating a work keyword suggested to a maintenance worker based on the classified phenomenon pattern and the work keyword.

Information processing apparatus, diagnosis method, and program

An objective is to identify the health state of mechanical equipment and provide information usable for determining maintenance work timing or the like. A health management system includes a time-series data acquisition unit configured to acquire multi-dimensional sensor data and environmental data from mechanical equipment; a first discrimination unit configured to quantify the equipment state of the mechanical equipment by a statistical method using normal data as learning data; a second discrimination unit configured to quantify the health state indicating the performance or quality of the mechanical equipment by a statistical method using normal data; and an output unit configured to display and/or output to the outside the quantified equipment state and health state.

Health management system, fault diagnosis system, health management method, and fault diagnosis method

Growing community of inventors

Hitachi, Japan

Shouzou Miyabe