Hitachi, Ltd.

Hitachi Cable, Inc.

Hitachi Industrial Equipment Systems Co., Ltd.

Kohji Maki

Houng Joong Kim

Tetsuji Kato

Kim Houng Joong

Tsuyoshi Wakuda

Hisao Tadokoro

Hideki Shimane

Yoshitaka Iwaji

Michiya Okada

Kenji Miyata

Hiroshi Katayama

Hideo Tsukamoto

Hitoshi Shibata

Shuichi Kido

Hiroshi Morita

Tomoo Chiba

Tomomi Kikuta

Minori Nagata

Ryoso Masaki

Satoru Kaneko

Yasuo Morooka

Kazuo Tahara

Tomoaki Hiruta

Keijiro Sakai

Tomoyuki Hanyu

Taizou Miyazaki

Ryoichi Takahata

Ryoichi Menju

Ryouichi Naganuma

Keijirou Sakai

Takashi Okada

Takashi Kobayashi

Hiroki Funato

Satoshi Kikuchi

Susumu Sasaki

Shigeru Kakugawa

Yasuaki Aoyama

Masashi Kitamura

Hiroshi Kanazawa

George Saikalis

Akiyoshi Komura

Munetoshi Unuma

Shinji Sugimoto

Miyoshi Takahashi

Shinya Yuda

Hiroaki Kojima

Takeo Morimoto

Kouki Yamamoto

Hideshi Fukumoto

Hironori Ohashi

Atsuhiko Nakamura

Hisashi Endo

Hiromitsu Seino

Mitsuyoshi Tsuchiya

Liang Shao

Kaoru Kawabata

Yoshitaka Atarshi

Isamu Numata

Yasunori Sannohe

Hiroshi Ueno

Souji Kajiura

Hiroshi Toyoda

The objective of the present invention is to realize an operating state classification system having a classification accuracy that continuously improves through additional learning, and which is appropriately protected from unauthorized duplication of a classification function. In this operating state classification system, in which an edge device and a server are connected by means of a communication network, and which inputs sensor data into a neural network and outputs a state label: the edge device includes a first storage unit which stores an upstream side of the neural network, and a dimensionality reduction unit which inputs the sensor data into the upstream side of the neural network and outputs intermediate data; and the server includes a second storage unit which stores a downstream side of the neural network, an inference executing unit which inputs the intermediate data into the downstream side of the neural network and outputs the state label, and a learning unit which updates the downstream side of the neural network by means of additional learning.

Operating state classification system, and operating state classification method

This power conversion device has: a current measurement unit for measuring phase current; a current vector calculation unit for calculating a current vector by performing 3-phase to 2-phase conversion on the phase current; an amount-to-be-analyzed calculation unit for calculating, on the basis of the current vector, an amount to be analyzed; and a feature amount waveform extraction unit for extracting a waveform in a specific frequency range on the basis of the amount to be analyzed.

Power conversion device, rotating machine system, and diagnosis method

A failure diagnosis system flexibly responds to a change in a diagnosis target by using a difference in measurement data before and after maintenance in predictive failure diagnosis. A pre-maintenance data DB stores measurement data before maintenance, and a post-maintenance data DB stores measurement data after maintenance. A feature detection algorithm group DB is provided where a plurality of feature detection algorithms are stored. A first feature is detected based on the measurement data by using each of the plurality of feature detection algorithms read from the feature detection algorithm group DB. An algorithm search unit selects one of the plurality of algorithms based on the feature thus detected. A second feature is detected from the measurement data by using the feature detection algorithm, and a sign predictive of failure of diagnosis of target equipment is diagnosed using the detected second feature.

Failure diagnosis system

A rotor diagnostic apparatus includes a parameter selection part that calculates evaluation values indicating how much sensor values of a rotor at a given time point deviate from a reference value at which the rotor is known to be in a normal state, the given time point being after the rotor is known to be in the normal state and before the rotor is to be diagnosed, and selects a plurality of parameters to be used for abnormality diagnosis of the rotor from the sensor values based on the calculated evaluation values. A diagnosis part outputs an abnormality value which is indicative of how abnormal the rotor is and which is obtained based on a distance, in a multidimensional space having the selected parameters as coordinate axes, between a figure represented by sensor values in the normal state and a figure represented by sensor values targeted for diagnosis.

Rotor diagnostic apparatus, rotor diagnostic method, and rotor diagnostic program

A power conversion device according to the present invention is connected to a rotating machine comprising an armature coil and supplies and receives power. The power conversion device has a function for: collectively applying voltage pulses to the armature coil or coils for one or more specific phases of the rotating machine, sampling the current values of the specific phases from the start of the rising or falling of the voltage pulses until a designated delay time, detecting variation in the capacitance of an insulation member of the armature coils of the specific phases of the rotating machine from variation from a normal state of the current values, and diagnosing insulation degradation.

Power conversion device, rotating machine system using same, and diagnosis method for same

Provided are a non-contact voltage measurement device and diagnosis system capable of acquiring the voltage of an electric wire without disconnecting the wire. The non-contact voltage measurement device () includes: a cylindrical fixing part () for holding an electric wire () by clipping the same from both sides; a first electrode () and a second electrode () provided on the inner peripheral surface of the electric-wire-holding side of the fixing part () so as to be separated by a distance (D); a first measurement capacitor (C) and a voltage division capacitor (C) connected to the first electrode (); a second measurement capacitor (C') connected to the second electrode (); a terminal () for measuring the voltage (V) applied to the first measurement capacitor (C); and a terminal () for measuring the voltage (V) applied to the second measurement capacitor (C&#x2032;).

Non-contact voltage measurement device and diagnosis system

An operation mode specifying unit specifies an operation mode of a machine by comparing time-series data of an amplitude and a frequency of measurement data obtained from a sensor with definition data of the operation mode of the machine created in advance by an operation mode data creation unit. In addition, an abnormality diagnosis unit performs processing of cluster analysis for the measurement data obtained from the sensor or the like, and diagnoses abnormality of the machine according to diagnosis procedure information that is set in advance depending on the set operation mode and an abnormality mode of the machine.

Machine diagnostic apparatus and machine diagnostic method

The present invention provides a linear motor where a load onto a supporting mechanism and the ripple of force are lessened and the ripple can be adjusted. As a leakage flux between the magnetic poles can be reduced by being configured by plural magnetic poles arranged with a magnet arranged on a mover held between them, a core that continuously connects the magnetic poles that holds the magnet of the mover between them, windings are integrally wound onto the plural magnetic poles and the mover formed by a row of magnets the magnetic poles of which are alternately arranged or a row of magnets the polarity of which is alternately arranged and magnetic materials, by arranging the plural magnetic poles arranged with the magnet held between and the plural magnetic poles provided with the core that continuously connects the magnetic poles.

Linear motor and positioning apparatus

A rotary machine diagnostic system includes: a current measurement unit for measuring a leakage current of a rotary machine; a voltage measurement unit for measuring a voltage of the rotary machine corresponding to the flowing leakage current; and a data processing unit. The data processing unit has a function of performing transient response analysis on a predetermined equivalent circuit model, which is equivalent to a leakage current path of the rotary machine, using current data and voltage data having a predetermined time width which are respectively measured at predetermined time intervals by the current measurement unit and the voltage measurement unit, and a function of extracting parameters of the equivalent circuit of the leakage current path.

Rotary machine diagnostic system

An object is to conduct an insulation degradation diagnosis with a simple configuration. An insulation diagnostic system includes a current detection sensorthat is installed, for a coilof at least one phase of a &#x394; connection type rotating machine in which current flows in the reverse direction at a winding start position and a winding end position, such that the current detection sensorsurrounds a current path flowing into a leader line at the winding start of the coiland a current path flowing out from a leader line at the winding end of the coil

Insulation diagnostic system or rotating machine

Provided is a deterioration diagnosis system which diagnoses deterioration of an N-phase rotational machine (N denotes a natural number). The deterioration diagnosis system includes a first current sensor to be attached individually to at least lead wires of (N-)-phases in a rotational machine, the first current sensor being able to detect a current amplitude arising from a plurality of deterioration causes, and a second current sensor to be attached collectively to the lead wires of all phases in the rotational machine, the second current sensor being able to detect a current amplitude arising from a plurality of deterioration causes.

Deterioration diagnosis system

An anomaly diagnosis system is provided that includes: a current-value obtaining partthat obtains a value of an AC current inputted to or outputted from a device to be diagnosed; a frequency analyzing partthat converts the current values obtained at intervals into a frequency spectrum which correlates a current intensity with a frequency; an anomaly-judging-value calculating partthat calculates at intervals a frequency width of the frequency spectrum at a current intensity 'As' satisfying As=m&#xd7;At (0&#x3c;m&#x3c;1), where 'At' is a peak current intensity associated with an analysis frequency which is an integer multiple of a frequency of the AC current; and a judging partthat judges whether the frequency width is wider than that in a normal condition and, if it holds true, judges that the device is in an anomalous condition.

Anomaly diagnosis system, method, and apparatus

The present invention provides a magnetic field analysis program and a magnetic field analysis method for calculating inductance related to an AC magnetic field superimposed on a DC magnetic field with a high degree of accuracy at high speed. The magnetic field analysis program is a program for analyzing an AC magnetic field through a frequency response analysis, and causes a computer to carry out: a process of inputting a DC magnetic flux density or a DC magnetic field strength, the amplitude and the frequency of an alternating current, and the initial magnetization curve of the magnetic material of an analysis object, calculating a DC magnetic field strength when a DC magnetic flux density is input, and calculating a DC magnetic flux density when a DC magnetic field strength is input (S); a process of calculating an AC magnetic flux density and an AC magnetic field strength by carrying out the frequency response analysis using the amplitude and the frequency of the alternating current (S); and a process of finding such a solution that the sum of the maximum value of the AC magnetic flux density obtained through the frequency response analysis and the DC magnetic flux density becomes equal to the magnetic flux density determined from the sum of the maximum value of the AC magnetic field strength obtained through the frequency response analysis and the DC magnetic field strength, and the initial magnetization curve, with a desired degree of accuracy (SS).

Magnetic field analysis programs and magnetic field analysis methods

A method for analyzing an operating point of a permanent magnet performs electromagnetic field analysis based on a B-H curve of the permanent magnet and element data concerning a finite number of elements into which the permanent magnet is divided to obtain the operating point of the permanent magnet. The method includes the steps of storing data of inputted B-H curve; obtaining magnetic flux densities and magnetic fields in plural regions of the permanent magnet by performing the electromagnetic field analysis based on the data of the B-H curve; and obtaining the operating point of each of the elements based on the result of the electromagnetic field analysis by employing a variable, the variable continuously varying in a first quadrant, in a second quadrant, in a third quadrant, and over these quadrants of the B-H curve and linearly varying with respect to the magnetic flux density and magnetic field.

Method for analyzing operating point of permanent magnet, program therefor, and recording medium

A controller for a power inverter having a gate assembly with an alternating current power output. A gate driver controls the activation of the gate assembly while a processor controls the operation of the gate driver. A current sensor has an output signal representative of the current at the power output. A noise detector circuit provides an output signal to the processor of the frequency of electromagnetic noise in the power inverter and the processor is programmed to sample the current from the current sensor at the frequency of the noise.

Power inverter controller and method

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Hitachi, Japan

Kohji Maki