According to one embodiment, a structure evaluation system of the embodiments includes a plurality of sensors, an arrival time determiner, a reliability calculator, and a map generator. The plurality of sensors detect elastic waves. The arrival time determiner determines arrival times of the elastic waves using elastic waves detected by the plurality of respective sensors. The reliability calculator calculates reliabilities related to measurement waveforms of the elastic waves on the basis of the arrival times. The map generator generates a first map on the basis of the calculated reliabilities or the reliabilities and a distance.

A method and system for ultrasonic testing of adhesion within a sample, which provides ultrasonic bursts of different frequencies to the sample and maintains a predetermined phase difference between echoes returned from the sample and representative reference signals of the bursts supplied to the sample until a spectrum of the phase differences versus frequency is obtained and from which properties of the adhesion at an interface reflecting the echoes are derivable.

A method and system for ultrasonic testing of adhesion within a sample, which provides ultrasonic bursts of different frequencies to the sample and maintains a predetermined phase difference between echoes returned from the sample and representative reference signals of the bursts supplied to the sample until a spectrum of the phase differences versus frequency is obtained and from which properties of the adhesion at an interface reflecting the echoes are derivable.

A device is configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system. The device is further configured to determine that the speed of a combustion air inducer has exceeded a speed threshold value. The device is further configured to receive an audio signal from a microphone while operating the HVAC system, to identify an audio signature for the combustion air inducer from an audio signature library, and to determine the audio signature for the combustion air inducer is present within the audio signal. The device is further configured to determine a fault type based on the determination that the audio signature for the combustion air inducer is present within the audio signal, to identify a component identifier for a component of the HVAC system that is associated with fault type, and to output a recommendation identifying the component identifier.

Provided are a waveform analysis method and a waveform analysis device capable of preventing, in advance, a breakage accident during operation and preventing stoppage due to breakdown of machinery and performing efficient maintenance work by specifying a degraded part from among the parts that constitute the machinery. A waveform analysis device 30 is provided with; a signal analysis unit 31 for performing fast Fourier transform for a signal transmitted from a sensor 28 that detects a physical phenomenon in the machinery an impulse extraction unit 32 for extracting an impulse component from spectrum data generated by the signal analysis unit 31; a display unit 35 for displaying waveform data including the impulse component extracted by the impulse extraction unit 32; and a data editing unit 33 for editing, from data of a waveform including the impulse component displayed by the display unit 35, waveform data in a range selected via an input unit 36 by a worker, generating a graph displaying a frequency, a time, and the intensity of the impulse component, and displaying the graph on the display unit 35.

An embodiment of the present disclosure may provide a method of detecting a fault location using an acoustic emission signal, including a measuring step of measuring, by a signal measuring unit including at least three sensors disposed in a diagnosed subject and isolated from one another, an acoustic emission signal generated from a faulty part of the diagnosed subject, a signal pre-processing step of filtering and amplifying, by the signal pre-processing unit, the acoustic emission signal, an extraction step of extracting, by a data operation unit, a measuring time, that is, the time when the acoustic emission signal reaches each of the at least three sensors of the signal measuring unit, and a first analysis step of analyzing, by a data analysis unit, a location and occurrence time of the faulty part by using the measuring time and location information of the signal measuring unit.

An ultrasonic quality control as disclosed can inspect a quality of a piece and classify the piece automatically. The piece can be scanned, and an image formed from the scanning. A reference piece is also scanned, and a reference image is formed. A negative image of the reference image is formed, and an indication image is created by utilizing the image and the negative image. The indication image is filtered by utilizing several image filters, each image filter filtering all data of the indication image except an image filter specific indication level data. Further several indication levels data are provided from the image filter specific indication level data, and the piece can be classified utilizing the several indication levels data.

Disclosed are apparatus and methods for enhancing operation of an ultrasonic sensing device for determining the status of an object near such ultrasonic sensing device. From the ultrasonic sensing device, an emission signal having a current frequency or band in an ultrasonic frequency range is emitted. Ultrasonic signals are received and analyzed to detect one or more objects near or contacting the ultrasonic sensing device. After expiration of a predefined time period of emitting the emission signal, a background noise signal is detected from an environment of the ultrasonic device and background noise metrics are estimated based on the background noise signal. It is then determined whether the current frequency of the emission signal is optimized based on the background noise metrics. A next frequency or band is selected and the emission signal is emitted at the next frequency or band if it is determined that the current frequency or band is not optimum. The operations of detecting, estimating, determining, and selecting are repeated after each time a next frequency or band is selected and the emission signal is emitted at such next frequency or band.

The present disclosure relates to a technical virtual sensing idea of indirectly measuring structural vibration information on an unmeasured point while minimizing the number of sensors attached for actual measurement, and more particularly, to a technique of estimating measurement data of an unmeasured point using a finite element model, synchronized and updated based on experimental data of an actual measurement subject structure, and a virtual sensing algorithm.

A device and a method for determining and/or monitoring at least one process variable of a medium include a sensor unit having a mechanically oscillatable unit, at least a first piezoelectric element, a temperature detection unit for determining and/or monitoring a temperature of the medium and an electronics unit. The device is embodied to excite the mechanically oscillatable unit by means of an excitation signal such that mechanical oscillations are executed, to receive mechanical oscillations of the oscillatable unit and convert them into a first received signal, to transmit a transmitted signal and to receive a second received signal. The electronics unit is embodied, based on the first and/or second received signal, to determine the at least one process variable and, based on a third received signal received from the temperature detection unit, to determine the temperature of the medium.