This method comprises: generating, only using the device, a low-frequency signal that makes the structure vibrate, generating a high-frequency signal in the structure, measuring a vibratory signal caused by the generated low-frequency and high-frequency signals at the same time then adaptively re-sampling these measurements to obtain a re-sampled vibratory signal the power spectrum of which comprises: a first frequency range [u.sub.BFmin; u.sub.BFmax] of width larger than 5 Hz that contains 95% of the power of the low-frequency signal, a second frequency range [u.sub.HFmin; u.sub.HFmax] of width systematically smaller than u.sub.BFmin that contains 95% of the power of the low-frequency signal, signaling a defect in the structure if an additional power lobe is detected outside of the ranges [u.sub.BFmin; u.sub.BFmax] and [u.sub.HFmin; u.sub.HFmax].

Disclose herein is a portable platform based on a direct digital synthesizer (DDS) is investigated for the orthogonal SAW sensor, integrating signal synthesis, gain control, phase/amplitude measurement, and data processing in a small, portable electronic system. The disclosed platform allows for simultaneous removal of non-specific binding proteins, and mixing, as well as improved incubation time.

Systems and methods are provided for obtaining a flexural-attenuation measurement for cement evaluation that may be effective even for wells with relatively thick casings. A method includes emitting an acoustic signal at a casing in a well that excites the casing into generating an acoustic response signal containing acoustic waves, such as Lamb waves. The Lamb waves include flexural waves and extensional waves. The casing may be relatively large, having a thickness of at least 16 mm. The acoustic response signal may be detected and filtered to reduce a relative contribution of the extensional waves. This may correspondingly increase a relative contribution of the flexural waves. The filtered acoustic response signal may be used as a flexural-attenuation measurement for cement evaluation.

A detection apparatus according to an embodiment includes a convergence member and a sensor. The convergence member comes into contact with a test object and has an elastic-modulus distribution in which an elastic modulus decreases as a distance from a center of the convergence member increases. The sensor is placed in an area including the center of the convergence member. The sensor detects, through the convergence member, an elastic wave generated from the test object.

A defect inspection device (100) includes an excitation unit that excites an elastic wave, an irradiation unit (2) that applies laser lights, a measurement unit (3) that measures the interfered laser lights, and a control unit that acquires vibration state information which is information about a state of the elastic wave excited in an inspection target (P) for a plurality of frequencies by changing a frequency of excitation vibration caused by the excitation unit in order to excite the elastic wave in the inspection target (P), and extracts recommended frequencies (F) recommended for inspecting a defect of the inspection target (P) from among the plurality of frequencies based on the acquired vibration state information for the plurality of frequencies.

A robotic cleaning appliance includes a sonic transducer and a processor coupled with a housing. The sonic transducer transmits sonic signals toward a surface within its ringdown distance and receives corresponding returned signals. Following cessation of the sonic signals, the processor samples the ringdown signal generated by the sonic transducer during an early portion before the corresponding returned signals have reflected back to the sonic transducer, and during a later portion which includes the corresponding returned signals. The processor utilizes the sampled early portion to estimate a void ringdown signal of which represents performance of the sonic transducer in absence of returned signals being received. The processor compares the estimated void ringdown signal to the later portion of the ringdown signal and generates a metric based on the comparison. The processor utilizes the metric to determine a type of the surface, out of a plurality of surface types.

Methods, systems, and apparatuses are provided for detecting and determining conditions of and conditions within a fluid conduit.

An electro-magnetic acoustic transducer (EMAT) system and method for controlling the EMAT system are provided. The system includes an electromagnet array with one or more electromagnets. Each electromagnet includes a magnetic core and a wound coil wrapped around the magnetic core. The electromagnet array generates bias magnetic fields having different patterns when the wound coils are energized differently.

The present application describes a magneto-optical based guided waves system for inspection and monitoring of assets. The system has a magnetostrictive-based wave emitter for signal generation and a network of optical fiber sensors for detection, both mechanically coupled to the asset, a device with embedded software for hardware control and signal processing, and a framework capable of providing visual and analytic insights about the condition of the structure of interest. The enhancement of flaw detection, location and characterization abilities of the system are obtained through the use of high sensitivity and passive fiber optics sensors with very small size, distributed and multi-parameter sensing capabilities.

Systems, methods, and apparatus for tracking location of an inspection robot are disclosed. An example apparatus for tracking inspection data may include an inspection chassis having a plurality of inspection sensors configured to interrogate an inspection surface, a first drive module and a second drive module, both coupled to the inspection chassis. The first and second drive module may each include a passive encoder wheel and a non-contact sensor positioned in proximity to the passive encoder wheel, wherein the non-contact sensor provides a movement value corresponding to the first passive encoder wheel. An inspection position circuit may determine a relative position of the inspection chassis in response to the movement values from the first and second drive modules.