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.

Described herein is a system for determining structural characteristics of an object, the system including a first laser, a second laser, one or more processors, and a computer readable medium storing instructions that, when executed by the one or more processors, cause the system to perform functions. The functions include illuminating, by the first laser, a surface region of an object with an incident light pulse, thereby causing the object to exhibit vibrations; illuminating, by the second laser, the surface region with an incident light beam, thereby generating responsive light that is indicative of the vibrations; detecting the responsive light and determining a difference between a characteristic of the responsive light and a reference characteristic that corresponds to the surface region; determining a position of the surface region within a three-dimensional space; and displaying the surface region such that the difference is indicated at the position of the surface region.

To provide a method for evaluating a corroded part, the method making it possible to specify only a waveform reflected by a corroded part and to evaluate the waveform. When a transmission unit (2) is moved on the surface of a metal pipe (60) and the distance between a corroded part (5) and the transmission unit (2) is changed, only a waveform portion A of ultrasonic waves reflected by the corroded part (5) moves toward the left or right along an X axis, and only the intensity of a noise waveform portion B included in a received wave changes upward or downward along a Y axis, which makes it possible to separate the waveform portion A and the noise waveform portion B of a longitudinal-wave surface wave reflected by the corroded part (5) and evaluate the waveform portion A in detail.

A system for monitoring rotating equipment. The system includes a sensor device that acquires vibration data, acoustic emission data, temperature data, and magnetic flux data of the rotating equipment. The sensor device includes base, holding frame, first integrated circuit, housing, and power source. The first integrated circuit includes a plurality of sensors and a microcontroller configured to receive vibration data, acoustic emission data, temperature data, magnetic flux data from plurality of sensors and determine anomalies of the rotating equipment. The system further comprises an application server that receives vibration data and magnetic flux data, determines revolutions per minute (RPM) data for rotating equipment, and diagnose faults based on processed vibration data and RPM data. The application server further generates a set of features and corresponding feature values and analyzes them to diagnose faults, and predict remaining useful life of the rotating equipment.

A carpet recognition method for a robot cleaner. The robot cleaner comprises a sleeve and an ultrasonic sensor, wherein the ultrasonic sensor is fixed in the sleeve. The recognition method comprises: controlling the ultrasonic sensor to vertically transmit an ultrasonic signal to the current ground, and to receive an actual echo signal reflected by the current ground and determining whether the actual echo signal is different from the standard echo signal of the normal ground, and if so, recognizing the current ground as a carpet surface

Disclosed is a device for testing corrosion fatigue resistance on the basis of acoustic emission. The device includes: a main machine including a supporting frame and a tensile mechanism arranged on the supporting frame; a clamping mechanism including a first clamp and a second clamp that is arranged opposite the first clamp, where the first clamp and the second clamp are both connected to the tensile mechanism, the tensile mechanism is used for driving the first clamp and the second clamp to move close to or away from each other, the first clamp is provided with an accommodation cavity for accommodating a corrosive substance, the accommodation cavity is provided with an opening that is provided on the first clamp and close to one end of the second clamp, and the first clamp can place a test specimen in the accommodation cavity when fixing the test specimen.

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.

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

According to an embodiment, a structure evaluation system includes a plurality of AE sensors, a signal processor, a position locator, and an evaluator. The AE sensors detect an elastic wave generated from a structure. The signal processor performs signal processing on the elastic wave detected by the AE sensors and outputs an AE signal including information on the elastic wave. The position locator derives a source distribution indicating the distribution of sources of the elastic wave generated in the structure, using an AE signal caused by an impact on the structure. The evaluator evaluates a state of deterioration of a predetermined region of the structure from a density of the sources of the elastic wave obtained on the basis of the source distribution.

According to an embodiment, a structure evaluation system includes a plurality of sensors, a position locator, and an evaluator. The sensors detect an elastic wave generated from a structure. The position locator derives a source distribution of the elastic waves generated from the structure, caused by an impact on the structure. The evaluator evaluates a state of deterioration of the structure from characteristic parameters of the elastic waves in the source distribution.