A method for measuring a velocity of a fluid, comprising the steps of, acquiring an ultrasonic measuring signal after it has travelled in the fluid over a path of defined length; defining measurement zone of the ultrasonic measuring signal which includes a plurality of measurement lobes; for each measurement lobe, measuring a zero crossing point associated with said measurement lobe; selecting at least two zero crossing points which satisfy a predefined precision criterion; estimating a time of flight for the ultrasonic measuring signal from the selected zero crossing points; utilizing the time of flight to estimate the velocity of the fluid.

Methods and systems for analyzing an industrial structure are provided. With a plurality of sensors (e.g. FBGs and/or piezoelectric transducers and/or electromagnetic acoustic transducers) deployed in, on or in proximity to the structure, sensors are interrogated and a function representative of the impulse response of the structure is determined by passive inverse filter. Subsequently, a map of the propagation of the elastic waves through the structure is determined via various modalities, and in particular by tomography (of bulk or guided waves, by analysis of time of flight or of the complete signal). Embodiments especially relate to the management of the number and position of the sensors, to the use of artificial noise sources, and to automatically controlling the sensors and/or noise sources to monitor the health of the structure, or even to view the dynamic behavior of the structure.

The current disclosure determines if structural faults exist and extracts geometric features of the structural faults from acoustic emission waveforms, such as crack length and orientation, and can evaluate the structural faults online, during normal operation conditions.

A stamping quality inspection system includes a stamping device, a signal detecting element, and a processor. The signal detecting element is coupled to the stamping device. The signal detecting element is configured to detect a sound signal and a vibration signal of the stamping device. The processor is coupled to the signal detecting element. The processor is configured to determine a stamping operation time interval according to the sound signal and the vibration signal, to compare a sub sound signal of the sound signal and a sub vibration signal of the vibration signal in the stamping operation time interval to a pattern comparison module, so as to generate a quality inspection result.

A system for processing acoustic data to identify an event includes a receiver unit including a processor and a memory. The receiver unit is configured to receive a signal from a sensor disposed along a sensor path or across a sensor area. A processing application is stored in the memory. The processing application, when executed on the processor, configures the processor to: receive the signal from the sensor, where the signal includes an indication of an acoustic signal received at one or more lengths along the sensor path or across a portion of the sensor area and the signal is indicative of the acoustic signal across a frequency spectrum; determine a plurality of frequency domain features of the signal across the frequency spectrum; and generate an output comprising the plurality of frequency domain features.

The present disclosure provides methods and systems for the characterization of a microtexture of a sample, component, or the like. The methods may include methods of determining a service life limiting region of a component, determining a treatment method for a component, and/or selecting components from a batch of components for use in production. The characterization may include calculating a microtexture level indicator from ultrasonic C-scan images for various samples, regions, components, or the like. The microtexture level indicator may include at least one of an average peak factor, a standard deviation of peak amplitude, and/or a baseband bandwidth.

A strength inspection device for evaluating a tensile strength of a test body as a fiber reinforced composite material includes: an AE sensor that detects AE waves generated in the test body by a tensile load in a test period of application of the increasing tensile load to the test body, and generates waveform data of the AE waves; a target wave specifying unit that specifies, as target waves, the AE waves of duration longer than a time threshold, based on the waveform data; an arithmetic unit calculates a frequency center of gravity concerning each target wave; and an evaluation data generation unit generates strength evaluation data of association between the frequency center of gravity concerning each target waves and magnitude of the tensile load applied to the test body at a detection time point of the target wave.

Methods, systems, and apparatuses are provided for detecting conditions associated with a fluid conduit. An apparatus includes an insert having an internal conduit to connect with the fluid conduit and a plenum volume, and a detection device including a housing connected to the insert within the plenum volume, an acoustic sensor to receive acoustic signals, an acoustic exciter to apply acoustic signals to the housing, and a controller. The controller is electrically connected to the acoustic sensor and the acoustic exciter. The controller is configured to cause the acoustic exciter to apply an input acoustic signal to the housing, receive the acoustic signals from the housing using the acoustic sensor, analyze the received acoustic signals to determine a pipe condition of a pipe defining the fluid conduit or fluidically connected to the fluid conduit, and cause data representative of the pipe condition to be transmitted to an external device.

A method according to one embodiment includes receiving sensor data from a plurality of sensors of a door device associated with a door, analyzing the sensor data to determine behavior data indicative of a behavior of the door device, and comparing the behavior data to a plurality of representative data associated with a plurality of door faults to determine a corresponding likelihood that the sensor data corresponds with each of the door faults.

A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.