Abstract: A piping diagnostic device according to an exemplary aspect of the present invention includes: criteria distribution generating means for generating a criteria distribution that is statistical data of criteria data of piping based on construction information about the piping, design information about the piping, and material information about the piping; changed-state distribution generating means for generating a changed-state distribution that is statistical data of changed-state data of the piping that have changed due to aging based on at least either vibration or dynamic pressure of the piping that have changed due to aging; measurement means for measuring at least either vibration or dynamic pressure of the piping; and determining means for determining deterioration of the piping based on the criteria distribution, the changed-state distribution, and at least either vibration or dynamic pressure of the piping.

Abstract: A piping diagnostic device according to an exemplary aspect of the present invention includes: criteria distribution generating means for generating a criteria distribution that is statistical data of criteria data of piping based on construction information about the piping, design information about the piping, and material information about the piping; changed-state distribution generating means for generating a changed-state distribution that is statistical data of changed-state data of the piping that have changed due to aging based on at least either vibration or dynamic pressure of the piping that have changed due to aging; measurement means for measuring at least either vibration or dynamic pressure of the piping; and determining means for determining deterioration of the piping based on the criteria distribution, the changed-state distribution, and at least either vibration or dynamic pressure of the piping.

Abstract: In order to provide an estimating device and the like capable of easily estimating the strength of a pipe, this estimating device is provided with a frequency response calculating unit, a pipe rigidity variable estimating unit, and a strength estimating unit. The frequency response calculating unit calculates a frequency response function of the pipe on the basis of excitation force data representing an excitation force when the pipe is excited, and response data obtained by measuring vibrations propagating through the pipe. The pipe rigidity variable estimating unit estimates a parameter relating to the rigidity of the pipe on the basis of a frequency response function model, which is a model representing the frequency response of the pipe, and the frequency response function. The strength estimating unit estimates the strength of the pipe on the basis of a relationship between the parameter and the strength of the pipe.

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: A system identification device 1 includes an analysis unit 105 that calculates a self-frequency response function on the basis of an input signal and an output signal measured by a measurement unit 103 at a position where a subject physical system 106 has been excited by a vibrating unit 102. The analysis unit 105 performs system identification of the subject physical system 106 by using an impulse response function obtained from the calculated self-frequency response function and an impulse response function of a virtual two-degrees-of-freedom model modeling the subject physical system 106 that is the subject of analysis. This makes it possible to perform system identification of systems with close eigenvalues.

Abstract: An analyzing device including: a material property calculating unit that calculates a material property of a pipeline being inspected, on the basis of measurement information including a load applied to the pipeline being inspected, and a displacement corresponding to the load applied to the pipeline being inspected; and a degree of deterioration calculating unit that calculates a degree of deterioration of the pipeline being inspected, on the basis of the material property of the pipeline being inspected, calculated by the material property calculating unit.

Abstract: A pipe diagnosis apparatus 10 includes a time-series data acquisition unit 11 that acquires time-series data on pressure of a fluid in piping equipment to be diagnosed, a pressure change measurement unit 12 that measures the number of pressure changes in the fluid from the time-series data on the pressure of the fluid, and a failure risk estimation unit 13 that estimates a failure risk of the piping equipment based on the measured number of pressure changes and a strength of a pipe included in the piping equipment.

Abstract: Provided is an analysis device which enables highly accurate diagnosis of a structure state. An analysis device includes a system identification unit, an input modeling unit, an input generation unit, and a response calculation unit. The system identification unit identifies a model representing time evolution of a structure using a non-Gaussian random process, based on a distribution of response of the structure. The input modeling unit generates a probability model representing a distribution of an input, based on data indicating fluctuation of the input to the structure. The input generation unit generates an input signal for the structure based on the probability model. The response calculation unit random response of vibration occurring in the structure in response to the input signal, based on the model and the input signal.

Abstract: Provided is a device that may accurately predict a deterioration tendency of a pipe. The device includes a plurality of detection units 10, a cross-correlation function calculation unit 22, a deterioration level calculation unit 24, and a deterioration prediction unit 25. The plurality of detection units 10 detect undulations at least two locations in a pipe in which a fluid flows. The cross-correlation function calculation unit 22 calculates a cross-correlation function of the pipe, based on the undulations at the at least two locations in the pipe detected by the plurality of detection units 10. The deterioration level calculation unit 24 calculates a deterioration level of the pipe, based on a shape of the cross-correlation function of the pipe. The deterioration prediction unit 25 predicts a deterioration tendency of the pipe, based on a temporal change of the deterioration level.

Abstract: A first time difference calculation unit calculates a time difference ?t1 between the timing of detection of vibration that indicates the first vibration mode of a pipe P and the timing of detection of vibration that indicates a second vibration mode of the pipe P by processing a result of a measurement . A second time difference calculation unit calculates a time difference ?t2 between the timing of detection of vibration that indicates the first vibration mode of the pipe P and the timing of detection of vibration that indicates the second vibration mode of the pipe P by processing a result of another measurement. A leakage position calculation unit uses the time differences ?t1, ?t2, and a space interval I between the first vibration detection unit and the first time difference calculation unit to calculate a leakage position in the pipe P.

Abstract: In a related fluid leakage detecting device, erroneous leakage determination may occur due to a change in a state of a fluid in piping. A leakage determination system of the present invention includes a first detection means for detecting a prescribed physical quantity indicating a state of a fluid in piping, a second detection means for detecting vibration propagating through the piping, and a leakage determination means for performing leakage determination based on the physical quantity detected by the first detection means and the vibration detected by the second detection means.

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: Degradation of a pipe can be easily detected. A piping inspection system 1 includes an excitation unit 100, a wave detection unit 210, and a diagnosis unit 220. The excitation unit 100 excites waves of different wave modes simultaneously at a first position of a pipe 300. The wave detection unit 210 detects the waves of different wave modes at a second position of the pipe 300. The diagnosis unit 220 diagnoses degradation of the pipe 300 based on a velocity of one of the waves of different wave modes, the velocity being calculated by using a detection time difference between the waves of different wave modes.

Abstract: Provided is a position estimation device and the like which accurately estimate an occurrence position of a pressure wave. The position estimation device is provided with: a first cross-correlation derivation means for deriving a first cross-correlation relating to a pressure of fluid based on measurement values obtained by measuring a pressure of fluid flowing through a pipeline network at least at two positions in the pipeline network, a second cross-correlation derivation means for deriving a second cross-correlation relating to a pressure of fluid based on calculation values obtained by calculating a pressure of fluid at least at the two positions in the pipeline network, and an estimation means for estimating an occurrence position of a pressure wave based on a difference between the first cross-correlation and the second cross-correlation.

Abstract: The present invention reduces production costs associated with a device that uses results of detection by a plurality of vibration detectors to detect a leakage position in a pipe. A first time difference calculation unit 114 calculates a time difference ?t1 between the timing of detection of vibration that indicates the first vibration mode of a pipe P and the timing of detection of vibration that indicates a second vibration mode of the pipe P by processing a result of a measurement made by a first vibration detection unit 112. A second time difference calculation unit 124 calculates a time difference ?t2 between the timing of detection of vibration that indicates the first vibration mode of the pipe P and the timing of detection of vibration that indicates the second vibration mode of the pipe P by processing a result of a measurement made by a second vibration detection unit 122.

Abstract: In a related fluid leakage detecting device, erroneous leakage determination may occur due to a change in a state of a fluid in piping. A leakage determination system of the present invention includes a first detection means for detecting a prescribed physical quantity indicating a state of a fluid in piping, a second detection means for detecting vibration propagating through the piping, and a leakage determination means for performing leakage determination based on the physical quantity detected by the first detection means and the vibration detected by the second detection means.

Abstract: A locking/unlocking detection device (10A) includes: a permanent magnet (12) that is attached to an opening/closing part (100) locked and unlocked by a locking mechanism (110); a vibration detection unit (11) that is attached to a base part (101) openably and closably supporting the opening/closing part (100); a magnetism detection unit (13) that is attached to the base part (101); a casing (15) that covers the vibration detection unit (11) and the magnetism detection unit (13); and a locking/unlocking detection unit (14). The vibration detection unit (11) detects vibration of the base part (101). The magnetism detection unit (13) detects magnetism of the permanent magnet (12). The locking/unlocking detection unit (14) detects locking/unlocking of the opening/closing part (100) from the vibration detected by the vibration detection unit (11) and the magnetism detected by the magnetism detection unit (13).

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 piezoelectric vibration sensor includes a piezoelectric element which is in a form of flat plate, an element holding plate which is in a form of flat plate, and first and second support members. An electrode is arranged on at least one plane of the piezoelectric element. The piezoelectric element is joined to one plane of the piezoelectric element. The first support member and the second support member support the piezoelectric element and the element holding plate. A vibration film activates vibration of the element holding plate between the first support member and the second support member. Moreover, the element holding plate is joined to each of the first support member and the second support member through the vibration film. As a result, it is possible to obtain high sensitivity in a wide frequency range and to withstand an impact which is added from the outside.

Abstract: A failure prediction system for performing failure prediction to a monitoring target device by detecting a state, comprising: a state detection unit for detecting state signals of no smaller than two different kinds, and outputting a detection signal corresponding to each of the state signals; a phase processing part for synchronizing a plurality of the detection signals; a signal analysis part for calculating a feature value indicating a feature of the state for each of the detection signals from the phase processing part; and a failure prediction part for performing failure prediction of the monitoring target device for each of the feature values by comparing the feature value in question and a reference value set in advance.