Disclosed is a structure analyzing device and a structure analyzing method which can analyze a state change of a structure, which is caused before the structure is destroyed, such as a state change of degradation of the structure or the like. A structure analyzing device (10) includes a vibration detecting unit (11) which detects a vibration of a structure, and an analysis unit (12) which analyzes an output signal of the vibration detecting unit (11). The analysis unit (12) analyzes a state change of the structure by comparing a value of resonant sharpness Q, which is measured by use of the following formula (1) in a state existing when carrying out analysis, with a value of resonant sharpness Q which is measured by use of the following formula (1) in a standard state.

Apparatus, assembly and method for investigating the integrity of a seal and sealant contained in a sealing fitting used in hazardous locations. The apparatus/assembly can include signal transmitters and signal receivers provided on a conduit system on either side of a sealing fitting. The apparatus/assembly can include probes placed on either side of a sealant within a sealing fitting, the probes placed in probe ports provided through the wall of the sealing fitting.

A method and device for leak detection and localization in at least a portion of a of fluid distribution system. At each of two or more locations, a position locator determines the location of the device and a vibration sensor generates a signal indicative of vibrations detected by the vibration sensor at the location. A processor calculates a parameter of the signal indicative of an average power of the signal at the location over a predetermined time period. For each location, the processor stores in a memory the location of the device and the value of calculated parameter, and then determines a location in the fluid distribution system where the calculated parameter has a maximum value satisfying a predetermined criterion.

A water leakage position estimation system (S) configured to estimate a water leakage position in a pipe network including a plurality of pipe routes includes a water leakage determination unit (11) estimation unit (12e) . The water leakage determination unit (11) determines whether a water leakage occurs in the pipe network based on a measured value of a vibration related to the pipe network that is acquired by a water leakage sensor (2) provided in the pipe network. The estimation unit (12e) estimates, when the water leakage determination unit (11) determines that a water leakage occurs in the pipe network, a pipe route in which the water leakage occurs from the plurality of pipe routes based on the measured value and a predicted value of the vibration for each pipe route acquirable by the water leakage sensor (2) when a water leakage occurs in each pipe route.

Examples of a leak detection system are disclosed. In one example according to aspects of the present disclosure, a leak detection system includes a housing defining an interior, the housing connected to a component of a water distribution system. The leak detection system also includes a leak detection sensor contained within the interior of the housing and configured to detect a leak within the water distribution system. Additionally, the leak detection system includes a digital signal processing circuit in communication with the leak detection sensor.

A method for characterizing a leak in a fluid network, making it possible to determine the type and/or the flow rate of a leak in a fluid network, in which the fluid network is equipped with a plurality of vibro-acoustic sensors configured to provide vibro-acoustic signals, and in which a statistical learning model receives as input at least one vibro-acoustic signal obtained directly or indirectly from at least one vibro-acoustic sensor and provides as output at least one leak characterization data among the leak type and the leak flow rate.

Methods, systems, and techniques for simulating an event. Simulated event data comprising a simulated event, and authentic raw data, are both obtained. The simulated event data and the authentic raw data are blended to form blended data that comprises the simulated event. The blended data may be fed into an event detection system, such as a pipeline leak detection system, for testing purposes.

Provided is an underground pipe leak detection system, including a sensing device, a storage device, and a processing device. The sensing device is used for collecting a voice signal from an underground pipe during a time period. The storage device is used for storing a voice dataset, and storing the voice signal transmitted by the sensing device. The processing device may access the storage device. The processing device is configured to execute the following operations: training a classification model using the voice dataset; extracting features of the voice signal; inputting the features of the voice signal into the classification model that has been trained to determine if there is a leak in the underground pipe.

A fluid monitoring system has a plurality of sensors, the sensors being acoustically coupled to a pipe system containing interconnected fluid-transporting pipes. The sensors collect sensor data that is analyzed by an analysis system to provide leak identification on the pipe system. Each sensor in the plurality of sensors is configured to be programmed adaptively by the analysis system to improve system performance parameters. A method for analyzing fluid flow is also described in which data from a plurality of acoustic sensing devices is analyzed using learning algorithms.

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.