Abstract: A fluid leakage diagnosing device includes: when fluid leakage relating to a pipeline is being diagnosed by employing adaptive signal processing to suppress a component of a disturbance vibration contained in a vibration measured at a prescribed location in the pipeline, an acquiring unit that acquires distribution information that is associated with a characteristic of the pipeline and represents an actual distribution result of a value of a parameter in the adaptive signal processing when performance of suppressing the component of the disturbance vibration satisfies a criterion; an estimating unit that, based on the distribution information, estimates a probability density at which the value of the parameter with which the performance satisfies the criterion exists; and a determining unit that, based on the probability density estimated by the estimating unit, determines a range to search for the value of the parameter in the adaptive signal processing.

Abstract: A leakage inspection device according to an aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: determine a measurement time; measure vibration waveforms for the measurement time by using at least two sensors set to a pipe; calculate a cross-correlation function of the measured vibration waveforms; detect peaks of the cross-correlation function at least twice in the measurement time; and determine that leakage occurs in a case where the peaks are repeatedly detected in the measurement time.

Abstract: A fluid leakage diagnosing device includes: when fluid leakage relating to a pipeline is being diagnosed by employing adaptive signal processing to suppress a component of a disturbance vibration contained in a vibration measured at a prescribed location in the pipeline, an acquiring unit that acquires distribution information that is associated with a characteristic of the pipeline and represents an actual distribution result of a value of a parameter in the adaptive signal processing when performance of suppressing the component of the disturbance vibration satisfies a criterion; an estimating unit that, based on the distribution information, estimates a probability density at which the value of the parameter with which the performance satisfies the criterion exists; and a determining unit that, based on the probability density estimated by the estimating unit, determines a range to search for the value of the parameter in the adaptive signal processing.

Abstract: A fluid leakage diagnosis device includes: an identification unit for using wave measurement information expressing a wave measured in a pipe to identify a position of an origin of the wave; a detection unit for using structural information of the pipe to detect a structural factor of the wave at the position of the origin identified by the identification unit; a determination unit for determining whether a time shift in the wave measurement information satisfies a condition; and a diagnosis unit for diagnosing fluid leakage in the pipe based on a detection result from the detection unit and a determination result from the determination unit, and this fluid leakage diagnosis device enhances the accuracy of fluid leakage diagnosis for a pipe accomplished through measurement of a wave produced in the pipe.

Abstract: A leakage inspection device according to an aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: determine a measurement time; measure vibration waveforms for the measurement time by using at least two sensors set to a pipe; calculate a cross-correlation function of the measured vibration waveforms; detect peaks of the cross-correlation function at least twice in the measurement time; and determine that leakage occurs in a case where the peaks are repeatedly detected in the measurement time.

Abstract: A model generation device for life prediction includes: an actual operation information generation unit that generates actual operation information indicating a relationship between a use time and a reliability of an object whose life is predicted, based on failure history information of the object by using an order-statistic calculation method; a probability distribution model generation unit that sets a number of division by which the use time is divided into periods, and then generates a probability distribution model that approximates the actual operation information for each of the periods obtained by dividing the use time; a calculation unit that calculates a goodness of fit of the probability distribution model to the actual operation information for each of the number of division by using an information criterion; and a determination unit that determines the probability distribution model at the number of division providing the highest goodness of fit.

Abstract: Signal measurement units each measure a signal output from a sound source, as a measured signal. Reference signal acquisition units each acquire a reference signal. A weighting processing unit creates weighted reference signals by weighting the reference signals. A time synchronization correction calculation unit calculates a time synchronization correction value based on the weighted reference signals. The time synchronization correction value is a correction value for synchronizing the two measured signals. An arrival time difference calculation unit calculates an arrival time difference based on the time synchronization correction value. The arrival time difference is a difference between elapsed times for the two measured signals acquired by respective ones of the pair of signal measurement units to arrive at the respective ones of the pair of signal measurement units. A sound source position calculation unit calculates a position of the sound source based on the arrival time difference.

Abstract: This invention provides the following: a diagnostic device that may, with a simple design, diagnose the condition of a wide area of a structure such as a pipe; and the like. The diagnostic device 100 has a determining means for determining the condition of the structure on the basis of the speed of sound therein.

Abstract: Provided are a position determination device and the like which determine vibration measurement positions for specifying a leak position. A position determination device 100 includes a feature amount extraction unit which extracts feature amounts relating to detected pipe vibrations respectively on the basis of the pipe vibrations detected by a plurality of detection units, and a measurement position determination unit which determines measurement positions of at least two of the detection units on the basis of the feature amounts.

Abstract: Provided are a position determination device and the like for determining a mounting position of a sensor suitable for detecting leakage vibration of a pipe. A position determination device (100) includes a frequency determination unit for determining a frequency of vibration propagating through a pipe and a structure attached to the pipe and a mounting position determination unit for determining, on the basis of the determined frequency, a mounting position of a sensor for detecting vibration of the pipe.

Abstract: Signal measurement units each measure a signal output from a sound source, as a measured signal. Reference signal acquisition units each acquire a reference signal. A weighting processing unit creates weighted reference signals by weighting the reference signals. A time synchronization correction calculation unit calculates a time synchronization correction value based on the weighted reference signals. The time synchronization correction value is a correction value for synchronizing the two measured signals. An arrival time difference calculation unit calculates an arrival time difference based on the time synchronization correction value. The arrival time difference is a difference between elapsed times for the two measured signals acquired by respective ones of the pair of signal measurement units to arrive at the respective ones of the pair of signal measurement units. A sound source position calculation unit calculates a position of the sound source based on the arrival time difference.

Abstract: Each functional configuring unit of a leak inspection device (2000) operates in the manner that follows. A vibration acquisition unit (2020) acquires a signal indicating tubing vibrations or vibrations propagated from tubing. A filtering unit (2040) extracts a signal of a predetermined frequency band from the signal acquired by the vibration acquisition unit (2020). A characteristic value extraction unit (2060) splits the signal extracted by the filtering unit (2040) into predetermined time intervals, calculates for each split signal the absolute value of each extreme value of the magnitude of the signal, performs for each split signal a statistical process with respect to the calculated plurality of absolute values, and considers values calculated by the statistical process to be characteristic values.

Abstract: A sensor device includes: a first sensor group (13) in which a plurality of first vibration sensors for detecting vibration acceleration in one direction with respect to an object to be detected are arranged to face the same direction; a phase difference calculation unit (220) which, based on a plurality of first signals indicating the vibration acceleration detected by each of the plurality of first vibration sensors included in the first sensor group (13), calculates a first phase difference indicating the phase difference between the plurality of first signals; and an acceleration calculation unit (230) which, using the first phase difference and the plurality of first signals, calculates vibration acceleration in a first direction perpendicular to a surface on which the plurality of first vibration sensors are arranged, and vibration acceleration in a second direction parallel to the surface on which the plurality of first vibration sensors are arranged.

Abstract: Provided are a position determination device and the like for determining a mounting position of a sensor suitable for detecting leakage vibration of a pipe. A position determination device (100) includes a frequency determination unit for determining a frequency of vibration propagating through a pipe and a structure attached to the pipe and an mounting position determination unit for determining, on the basis of the specified frequency, the mounting position of a sensor for detecting the vibration of the pipe.

Abstract: This invention provides the following: a diagnostic device that may, with a simple design, diagnose the condition of a wide area of a structure such as a pipe; and the like. The diagnostic device 100 has a determining means for determining the condition of the structure on the basis of the speed of sound therein.

Abstract: A sensor unit (100) provided with a substrate (101), a plurality of light-receiving units (102) that are provided on the substrate (101) and detect light, and a diffraction grating layer (103) that is provided on the substrate (101) and the light-receiving units (102) and has at least two diffraction means for diffracting light of corresponding wavelengths and condensing the light onto the light-receiving units, wherein at least two of the diffraction means are composed from holograms formed on a first diffraction grating layer and at least a portion of the plurality of holograms formed on the first diffraction grating layer overlap at least partially with another adjacent hologram.

Abstract: Provided are a position determination device and the like which determine vibration measurement positions for specifying a leak position. A position determination device 100 includes a feature amount extraction unit which extracts feature amounts relating to detected pipe vibrations respectively on the basis of the pipe vibrations detected by a plurality of detection units, and a measurement position determination unit which determines measurement positions of at least two of the detection units on the basis of the feature amounts.

Abstract: A sensor unit (100) provided with a substrate (101), a plurality of light-receiving units (102) that are provided on the substrate (101) and detect light, and a diffraction grating layer (103) that is provided on the substrate (101) and the light-receiving units (102) and has at least two diffraction means for diffracting light of corresponding wavelengths and condensing the light onto the light-receiving units, wherein at least two of the diffraction means are composed from holograms formed on a first diffraction grating layer and at least a portion of the plurality of holograms formed on the first diffraction grating layer overlap at least partially with another adjacent hologram.

Abstract: A viscoelastic body is interposed between a vibrating membrane vibrating in association with a piezoelectric vibrator composed of a piezoelectric element and a base and a support member supporting the vibrating membrane. The viscoelastic body attenuates vibration transmitted from the support member to the vibrating membrane and converts vibration of the vibrating membrane in the surface direction parallel to its main surfaces to vibration of the vibrating membrane in the direction nearly perpendicular to the surface direction. The vibrating membrane is annular with an opening at the center, and the base is joined to the vibrating membrane coaxially with opening.

Abstract: Each functional configuring unit of a leak inspection device (2000) operates in the manner that follows. A vibration acquisition unit (2020) acquires a signal indicating tubing vibrations or vibrations propagated from tubing. A filtering unit (2040) extracts a signal of a predetermined frequency band from the signal acquired by the vibration acquisition unit (2020). A characteristic value extraction unit (2060) splits the signal extracted by the filtering unit (2040) into predetermined time intervals, calculates for each split signal the absolute value of each extreme value of the magnitude of the signal, performs for each split signal a statistical process with respect to the calculated plurality of absolute values, and considers values calculated by the statistical process to be characteristic values.