Abstract: 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.

Abstract: An electric power conversion device has a function of detecting, at low cost and at an early stage, a sign of insulation failure of a transformer or a rotational machine. This electric power conversion device is provided with an inverter circuit and a PWM signal generation unit that makes a comparison between a carrier signal and a voltage command value and generates a PWM signal for driving the inverter circuit. The electric power conversion device feeds and receives electric power through connection to a transformer or a rotational machine provided with a winding wire. The electric power conversion device is provided with: a current sensor that detects a current to be fed to or received from the transformer or the rotational machine; and a diagnostic unit that diagnoses insulation degradation of the transformer or the rotational machine.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 (100) includes: a cylindrical fixing part (110) for holding an electric wire (10) by clipping the same from both sides; a first electrode (121) and a second electrode (122) provided on the inner peripheral surface of the electric-wire-holding side of the fixing part (110) so as to be separated by a distance (D2); a first measurement capacitor (C3) and a voltage division capacitor (C2) connected to the first electrode (121); a second measurement capacitor (C3?) connected to the second electrode (122); a terminal (131) for measuring the voltage (V1) applied to the first measurement capacitor (C3); and a terminal (132) for measuring the voltage (V2) applied to the second measurement capacitor (C3?).

Abstract: 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.

Abstract: 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 (100) includes: a cylindrical fixing part (110) for holding an electric wire (10) by clipping the same from both sides; a first electrode (121) and a second electrode (122) provided on the inner peripheral surface of the electric-wire-holding side of the fixing part (110) so as to be separated by a distance (D2); a first measurement capacitor (C3) and a voltage division capacitor (C2) connected to the first electrode (121); a second measurement capacitor (C3?) connected to the second electrode (122); a teminal (131) for measuring the voltage (V1) applied to the first measurement capacitor (C3); and a terminal (132) for measuring the voltage (V2) applied to the second measurement capacitor (C3?).

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An object is to conduct an insulation degradation diagnosis with a simple configuration. An insulation diagnostic system includes a current detection sensor 4a that is installed, for a coil 3a of at least one phase of a ? 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 sensor 4a surrounds a current path flowing into a leader line at the winding start of the coil 3a and a current path flowing out from a leader line at the winding end of the coil 3a.

Abstract: The purpose of the present invention is to provide a machine diagnostic device that assists with sensor attachment such that malfunction sensing performance may be maintained even after maintenance of a device. The machine diagnostic device includes a sensor data acquisition part that acquires time-series sensor data that are measured by sensors that are attached to a machine that has one or more operating modes; a learning unit that statistically processes the sensor data prior to detachment of the sensors and computes a normal operation model; a malfunction diagnostic unit that diagnoses a malfunction of the machine on the basis of the sensor data and the normal operation model; and a sensor adjustment unit that, when the sensors are re-attached to the machine after the sensors have been detached therefrom, displays, in a display unit, as a sensor adjustment mode, discrepancies between the normal operation model prior to the detachment of the sensors and the post sensor attachment sensor data.

Abstract: 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.

Abstract: 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-1)-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.

Abstract: An anomaly diagnosis system is provided that includes: a current-value obtaining part 111 that obtains a value of an AC current inputted to or outputted from a device to be diagnosed; a frequency analyzing part 112 that converts the current values obtained at intervals into a frequency spectrum which correlates a current intensity with a frequency; an anomaly-judging-value calculating part 113 that calculates at intervals a frequency width of the frequency spectrum at a current intensity “As” satisfying As=m×At (0<m<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 part 114 that 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.

Abstract: An object is to conduct an insulation degradation diagnosis with a simple configuration. An insulation diagnostic system includes a current detection sensor 4a that is installed, for a coil 3a of at least one phase of a ? 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 sensor 4a surrounds a current path flowing into a leader line at the winding start of the coil 3a and a current path flowing out from a leader line at the winding end of the coil 3a.