There are provided a device for removing partial discharge noise and a method of diagnosing the same. The device includes a noise removing device configured to remove noise of a partial discharge signal using a reaction rate difference of signals when the partial discharge signal is generated, and output a signal in which noise is removed, a laser module configured to output a laser beam to a surface of a power device when the partial discharge signal is generated and extract sound wave and vibration data from a reflection signal of the laser beam, a correlation analyzing unit configured to compare the partial discharge signal in which noise is removed input through a sensor connecting unit and the sound wave and vibration data extracted through the laser module, and analyze a correlation, and a partial discharge diagnostic unit configured to perform partial discharge diagnosis on a signal that matches the partial discharge signal in which noise is removed with at least one of a generation cycle, a time, and a phase of the sound wave and vibration data based on a result of correlation analysis of the correlation analyzing unit.

There are provided a device for removing partial discharge noise and a method of diagnosing the same. The device includes a noise removing device configured to remove noise of a partial discharge signal using a reaction rate difference of signals when the partial discharge signal is generated, and output a signal in which noise is removed, a laser module configured to output a laser beam to a surface of a power device when the partial discharge signal is generated and extract sound wave and vibration data from a reflection signal of the laser beam, a correlation analyzing unit configured to compare the partial discharge signal in which noise is removed input through a sensor connecting unit and the sound wave and vibration data extracted through the laser module, and analyze a correlation, and a partial discharge diagnostic unit configured to perform partial discharge diagnosis on a signal that matches the partial discharge signal in which noise is removed with at least one of a generation cycle, a time, and a phase of the sound wave and vibration data based on a result of correlation analysis of the correlation analyzing unit.

Operating parameters are selected for inspecting a structure. Selecting the operating parameters includes exciting broadband ultrasonic guided waves in a multilayered structure, acquiring data corresponding to the sensed broadband ultrasonic guided waves in the multilayered structure, selecting one or more narrow frequency bands based on the acquired data, and inspecting the multilayered structure using ultrasonic guided waves in the one or more narrow frequency bands. In some examples, the data is acquired by an inspection tool capable of sensing the broadband ultrasonic guided waves in the multilayered structure.

Operating parameters are selected for inspecting a structure. Selecting the operating parameters includes exciting broadband ultrasonic guided waves in a multilayered structure, acquiring data corresponding to the sensed broadband ultrasonic guided waves in the multilayered structure, selecting one or more narrow frequency bands based on the acquired data, and inspecting the multilayered structure using ultrasonic guided waves in the one or more narrow frequency bands. In some examples, the data is acquired by an inspection tool capable of sensing the broadband ultrasonic guided waves in the multilayered structure.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

An inspection robot incudes a robot body, at least two sensors, a drive module, a stability assist device and an actuator. The at least two sensors are positioned to interrogate an inspection surface and are communicatively coupled to the robot body. The drive module includes at least two wheels that engage the inspection surface. The drive module is coupled to the robot body. The stability assist device is coupled to at least one of the robot body or the drive module. The actuator is coupled to the stability assist device at a first end, and coupled to one of the drive module or the robot body at a second end. The actuator is structured to selectively move the stability assist device between a first position and a second position. The first position includes a stored position. The second position includes a deployed position.

An apparatus for inspecting a well having nested multi-tubular structure, includes: an acoustic transducer conveyed in an inner-most tubular in the structure and configured to receive a return acoustic signal having a plurality of resonances due to the structure; an acoustic impedance matching material disposed on a sensing face of the acoustic transducer; a signal generator that generates a signal having a plurality of frequencies to drive the acoustic transducer; a signal shaper that modifies the signal to provide a drive signal to the acoustic transducer; and a processor configured to determine an annulus distance of any tubular in the structure with respect to an adjacent tubular using a time of flight of a transmitted acoustic signal, an acoustic speed in a component in the nested multi-tubular structure using the annulus distance and the plurality of resonances, and a characteristic of the component that corresponds with the acoustic speed.

Described herein are Compressive Sensing algorithms developed for automated reduction of NDE/SHM data from pitch-catch ultrasonic guided waves as well as a methodology using Compressive Sensing at two stages in the data acquisition and analysis process to detect damage: (1) temporally undersampled sensor signals from (2) spatially undersampled sensor arrays, resulting in faster data acquisition and reduced data sets without any loss in damage detection ability.

An information acquisition apparatus for acquiring information relating to a crawler configured to be wound around a rotationally driven sprocket connected to a rotation axle provided in a vehicle, the crawler having a meshing part configured to mesh with a tooth or a tooth base of the sprocket and being circulatorily driven in conjunction with rotation of the sprocket is provided. The information acquisition apparatus includes a memory and a processor. The memory stores, as initial information, the number of meshing parts of the crawler and information specifying the meshing part that is at a predetermined position, prior to the vehicle traveling. The processor acquires rotation information of the sprocket. The processor, while the vehicle is traveling, information specifying the meshing part that is at the predetermined position, based on the initial information and the rotation information.