Yokogawa Electric Corporation

Mitsubishi Electric Corporation

Hitachi High-Tech Corporation

Yokogawa Electric Cornoration

Naoto Takano

Noriaki Senba

Hiroki Tabata

Keiichi Sasaki

Takuya Nidaira

Kouichirou Shimamura

Yasuyuki Omi

Mitsuhiro Kamiya

Makoto Nakaya

Tsuyoshi Kato

Kenichi Yoshida

Hidetoshi Ikeda

Hiroyuki Sekiguchi

Takashi Arai

Jun Kobayashi

Takahiro Tsutsumi

Yuya Iketsuki

Masaya Kimura

Keita Suzuki

Takeshi Ohmori

Ayako Kouno

Hyakka Nakada

Shin Ishimaru

Yasunori Oota

Motoichi Kuwatani

Ryosuke Kashiwa

Azusa Takenaka

Toshiaki Omata

Ryousuke Kobayashi

Hayato Izumi

Hideyuki Masui

Ayako Kono

Yuta Ohara

Kazuhira Urushizaki

Masayuki Ishii

Yuta Machida

Takashi Hara

Toshiki Miyasaka

Hideki Asoh

Hiroki Kuraishi

Lele Ding

Rei Kitano

Yuudai Hirai

Kentarou Yamada

Xiaojian Guo

Yuuta Oohara

Masahiko Naruke

Mitsuhiro Okamoto

Eiichi Noda

Hirokazu Miyamae

Hiromi Amii

Youhei Tsubouchi

Yoichi Horisawa

Daisaku Matsumoto

Atsunori Kanemura

Yuuya Imai

Yasunori Yokoyama

Nanako Ushifusa

Emiko Hatsugai

Taku Koizumi

Toshiya Tsukiai

Hiroki Yamawaki

Taihei Hamada

Pressure transmitter

In an information processing apparatus, an internal variable holding unit holds a smaller number of values of an internal variable than N, the internal variable being sequentially calculated in time series based on sensor data acquired by a sensor data acquisition unit. An internal variable calculation unit calculates the internal variable corresponding to a (j+1)-th time point (j is an integer of one to N−1) based on the sensor data at the (j+1)-th time point and the internal variable corresponding to a j-th time point. A feature calculation unit calculates a feature by extracting a statistical characteristic included in the sensor data from the first time point to the N-th time point based on the internal variable at the N-th time point. A state diagnosis unit makes a diagnosis of a state of the mechanical apparatus based on the feature.

Information processing apparatus and information processing method

Image cytometer

A positioning control device includes a position-command generation unit to generate a position command by which a shape of an acceleration in an accelerating section and a decelerating section is determined on the basis of a position command parameter, a drive control unit to drive a motor such that a detected position value of the motor or a control target follows the position command, an evaluation unit to calculate an evaluation value regarding positioning performance on the basis of a detected position value of the motor or the control target during execution of positioning control on the control target, and a learning unit to obtain a learning result by learning a relation between the position command parameter and the evaluation value when positioning control is executed plural times, while changing each of shapes of an acceleration in an accelerating section and a decelerating section independently.

Positioning control device and positioning method

A positioning control device, in which motion of a motor in positioning operation of causing a mechanical load connected to the motor to move by a target moving distance is specified by operational conditions and command parameters, includes an adjustment unit performing the positioning operation based on an adjustment condition and a trial parameter, which are an operational condition and a command parameter, and determining one of the command parameters to be an excellent parameter corresponding to the adjustment condition based on an evaluation result based on the state of the motor or the mechanical load during positioning operation performed; and an estimation unit determining one of the command parameters to be an estimated excellent parameter corresponding to a non-adjustment condition, which is one type of the operational conditions, based on an adjustment record being a pair of the adjustment condition and the excellent parameter corresponding to the adjustment condition.

Positioning control device and method for moving a mechanical load by a target distance using a motor

High-accuracy dimension extraction for a complicated shape possibly appearing through semiconductor processing. A starting point and an endpoint are placed on the periphery of a graphic shape including a combination of multiple ellipses, and a curve unicursally drawn on the periphery between the two points is used as a shape mode, thereby describing a contour of an intended structure.

Contour analysis apparatus, processing condition determination system, shape estimation system, semiconductor device manufacturing system, search apparatus, and data structure used in them

A motor control device is capable of detecting, through use of a small-sized or simple device, a state of belt tension in a belt transmitting torque of an electric motor in a motor system. A motor control device includes a drive controller that outputs a drive command signal that drives an electric motor of a motor system, and a belt tension state value calculation unit that outputs a belt tension state value on a basis of a drive detection signal detecting an angle of rotation, an angular velocity, or an angular acceleration in the motor system. The belt tension state value indicates a state of belt tension in a belt. The motor system includes a load machine, a driven pulley mechanically connected to the load machine, the belt wound onto the driven pulley, a drive pulley that the belt is wound onto, and the electric motor mechanically connected to the drive pulley.

Motor control device and belt tension state detection device

Control room

Provided is a plant operation support apparatus including a plant simulator, a predictor, and a predicted KPI deriver. The plant simulator simulates a state at a current time or a predetermined time of a plant based on information obtained from the plant, to output an estimated value at the current time or the predetermined time of process data in the plant. The predictor predicts a state at a predetermined future time of the plant based on the estimated value and outputs a predicted value of the process data in the plant. The predicted KPI deriver derives a predicted KPI which is an index for monitoring the state at the future time of a task to be monitored in plant operation based on the predicted value.

Plant operation support apparatus, plant operation support method, and plant operation support program recording medium

Wireless communication module

Gas analyzer

An electric-motor control apparatus includes: a command generation unit; a drive detector; a drive-current detection unit; a current-control computation unit; a steady-state-load calculation unit; a first steady-state-load reference-value storage unit; and a tension-variation analysis unit. The command generation unit outputs a drive command signal of an electric motor; the drive detector outputs a drive detection signal of the electric motor; the control computation unit receives the drive detection signal and the drive command signal and outputs a current command value; the drive-current detection unit outputs a drive-current detection value; the current-control computation unit outputs the drive current to the electric motor; and the steady-state-load calculation unit outputs a steady-state-load calculation value. The first steady-state-load reference-value storage unit stores a first steady-state-load reference value; and the tension-variation analysis unit outputs a tension-variation analysis value.

Electric-motor control apparatus

Growing community of inventors

Musashino, Japan

Naoto Takano