Fujitsu Corporation

Fujitus Limited

Takeo Kasajima

Kazushi Uno

Fumio Takei

Hiroyuki Fukuda

Takahiro Arioka

Minoru Ishinabe

Kyoko Tadaki

Masatoshi Ogawa

Hiromitsu Soneda

Noriyasu Aso

Masao Kondo

Hiroshi Endo

Takahiro Kashikawa

Yoichi Takasu

Kyouko Tadaki

A computer-readable, non-transitory medium storing a program that causes a computer to execute a process is provided. The process includes acquiring a backward Rayleigh scattered light from an optical fiber composite overhead ground wire of an electrical power transmission facility; generating vibration information of a frequency band including a natural frequency of the optical fiber composite overhead ground wire, on a basis of the backward Rayleigh scattered light; and detecting abnormality of the electrical power transmission facility, on a basis of the vibration information.

Computer-readable non-transitory medium, abnormality detection device and abnormality detection method

A determination device includes: a memory; and a processor coupled to the memory and the processor configured to executes a process, the process comprising: generating a reference model of a sensor detection value; determining whether a time from a predetermined point in time until a deviation between the reference model and the sensor detection value exceeds a threshold is shorter than a predetermined time; and outputting a signal associated with an abnormality when the time is determined to be shorter.

Determination device, determination method, and non-transitory computer-readable recording medium

An engine torque estimating system includes: an engine; a crank angle sensor installed for a crankshaft of an engine; an acquiring circuit for acquiring, from the crank angle sensor, a chronological waveform in which amplitude changes based on a rotational speed of the crankshaft; a generating circuit for generating input data to a mathematical model based on information of the amplitude of the chronological waveform; a calculating circuit for calculating an estimated value of engine torque by giving the generated input data to the mathematical model; and a control circuit for controlling the engine based on the estimated value of engine torque.

Engine torque estimating device, engine control system, and engine torque estimation method

A temperature measurement device includes: a light source configured to input a light into an optical fiber; a detector configured to detect a Stokes component and an anti-Stokes component from a back scattering light from the optical fiber; a memory; and a processor configured to execute a process, the process comprising: in a predetermined region including a sample point of the optical fiber, calculating a range including the sample point in accordance with a largeness of a correlation between the Stokes component and the anti-Stokes component; smoothing the Stokes component and the anti-Stokes component in the range; and measuring a temperature of the sample point with use of the Stokes component and the anti-Stokes component that are smoothed by the corrector.

Temperature measurement device, temperature measurement method, and computer-readable non-transitory medium

A temperature measurement device includes: a detector to detect first Stokes and anti-Stokes components when a light is input into a first end of an optical fiber and detect second Stokes and anti-Stokes components when a light is input into a second end; and a processor to execute a process including: calculating a first section from a first correlation between the second Stokes component and at least one of the first Stokes and the first anti-Stokes components, calculating a second section from a second correlation between the second anti-Stokes component and at least one of the first Stokes and the first anti-Stokes components, smoothing the second Stokes component in the first section, smoothing the second anti-Stokes component in the second section; and measuring a temperature by using the second Stokes and the second anti-Stokes components after smoothing, the first Stokes component and the second Stokes component.

A temperature measurement device includes: a detector to detect a first Stokes component and a first anti-Stokes component when a light is input into a first end of an optical fiber and detect a second Stokes component and a second anti-Stokes component when a light is input into a second end; and a processor configured to execute a process comprising: replacing the second anti-Stokes component with a value according to the first Stokes component, the first anti-Stokes component and the second Stokes component when any one of correlations of the second anti-Stokes component to the first Stokes component and the first anti-Stokes component is less than or equal to a threshold value; and measuring a temperature at the sample point by using the first Stokes component, the first anti-Stokes component, the second Stokes component, and the second anti-Stokes component that is replaced in the replacing.

An optical fiber cord includes: an optical fiber; and a cover material covering the optical fiber, the cover material being formed by braiding a plurality of yarns. Moreover, an abnormality detection system includes: the optical fiber covered with the cover material formed by braiding the plurality of yarns; a scattered light detector configured to detect scattered light occurring in the optical fiber and output data on intensity distribution in a longitudinal direction of the optical fiber; and a data processor configured to determine the presence or absence of an abnormality based on the data outputted from the scattered light detector.

Optical fiber cord and abnormality detection system

An information processing apparatus includes a database configured to store a plurality of physical quantities in time-series, a processor, and a memory storing a program causing the processor to execute acquiring the plurality of physical quantities, selecting first explanatory variates, selecting second explanatory variates, generating past case data by acquiring the physical quantities corresponding to the objective variates and an input variate group of the first explanatory variates and the second explanatory variates, searching for predetermined pieces of past case data in the sequence from the shortest of the inter-vector distances, building up the second model from the input variate group in the predetermined pieces of searched past case data and from the objective variates, and predicting values of objective variates from the second model.

Physical quantities prediction apparatus and method

An estimation device includes: a memory and a processor, wherein the processor is configured to execute a process including: determining a point of a burning having a higher peak in a predetermined range of a heat release rate based on a peak of a burning having a smaller peak, in a heat release rate waveform in an internal combustion engine that performs a multiple-stage fuel injection; calculating a tangential line of the heat release rate waveform at the point; setting a predetermined point on the tangential line as an initial value for identifying a model parameter of a heat release rate model; identifying the model parameter so that a difference between a calculation value of the heat release rate model and the heat release rate waveform is reduced with use of the initial value; and estimating a heat release rate with a result of an identification of the identifying.

Estimation device, estimation method, computer-readable non-transitory medium, engine and movement device

A temperature measuring system includes a laser light source to emit optical pulses, an optical fiber, arranged to pass through a plurality of measuring points, and input with the optical pulses, and a measuring device to detect back-scattering light output from the optical fiber and measure a temperature at the plurality of measuring points, to acquire measured temperature data. The measuring device computes corrected temperature data by varying a degree of smoothing the measured temperature data in a distance direction of the optical fiber, according to a correlation between the measured temperature data and a transfer function peculiar to the temperature measuring system.

Temperature measuring system and temperature measuring method

A temperature measuring system includes a laser light source that emits optical pulses, an optical fiber, arranged to pass through a plurality of temperature measuring points, and input with the optical pulses, and a measuring device that detects back-scattering light output from the optical fiber and measures a temperature at the plurality of measuring points, to acquire measured temperature data. The measuring device computes corrected temperature data by varying a degree of averaging of the measured temperature data in a time direction, according to whether a time-sequential difference temperature data have a spatial correlation or a time correlation within a range that uses a target position of the optical fiber as a reference.

A temperature measurement device includes: an optical fiber that is arranged along a predetermined path; a light source configured to input a light into the optical fiber; a measurer configured to measure temperature distribution information in an extension direction of the optical fiber based on a back-scattering light from the optical fiber; and a corrector configured to make a filter for reducing a noise component of temperature distribution information measured by the measurer based on a difference of temperature distribution information between two different regions of the optical fiber in which a common temperature distribution is obtained, and correct the temperature distribution information by applying the filter to the temperature distribution information.

Temperature measurement device and temperature measurement method

An engine torque estimation device includes: a memory; a processor coupled to the memory and the processor configured to, acquire a measured value of a crank angle that is a rotation angle of a crank shaft of an engine, derive, based on the measured value of the crank angle, a calculated value of a crank angle speed, and derive an estimated value of an engine torque, based on a non-linear Kalman filter using a first estimation error that is a difference between the calculated value of the crank angle speed and the estimated value of the crank angle speed.

Engine torque estimation system, and engine torque estimation method

An estimation apparatus, includes: a sensor, disposed in the proximity of a crank rotor, configured to output a signal in response to a positional variation of an outer periphery of the crank rotor, the crank rotor including a plurality of protruding teeth formed at given distances and a tooth-missing region on an outer periphery of the crank rotor and configured to rotate in an interlocking relationship with a crankshaft of an internal combustion engine; and a processor configured to calculate a crank angular velocity of the internal combustion engine at given time intervals from the signal output from the sensor and estimate a first crank angular velocity corresponding to the tooth-missing region from second crank angular velocities at two or more points corresponding to at least one of portions before and after the tooth-missing region.

Estimation apparatus, estimation method and engine system

An abnormality detection system includes an optical fiber, a backscattered light detector, and a data processor. The backscattered light detector is connected to one end side and the other end side of the optical fiber, and configured to acquire a first intensity distribution of backscattered light by making light incident on the optical fiber from the one end side and to acquire a second intensity distribution of backscattered light by making light incident on the optical fiber from the other end side. The data processor calculates transmission loss at each position in the longitudinal direction of the optical fiber by using the first and second intensity distributions and a normalization function, and determines whether or not there is an abnormality based on the result of the calculation.

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Machida, Japan

Takeo Kasajima