Abstract: Systems and methods directed toward acoustic analysis can include an acoustic sensor array comprising a plurality of acoustic sensor elements, an electromagnetic imaging tool, a distance measuring tool, and a processor in communication with the acoustic sensor array, the electromagnetic imaging tool, and the distance measuring tool. The processor can be configured to generate acoustic image data based on acoustic signals received from the acoustic sensor array and distance information received from the distance measuring tool. The processor can combine the generated acoustic image data and received electromagnetic image data from the electromagnetic imaging tool to create a display image including acoustic image data and electromagnetic image data. The processor can be configured to correct a parallax error between the electromagnetic image data and the acoustic image data based on the received distance information.

Abstract: A method and computer program product for determining whether an object of interest can have its temperature measurement calculated by a thermal imaging camera. To do this, the measurement IFOV is converted into linear units. The measurement IFOV may be displayed on the display of the camera as a graphical indicator (100, 100?, 100?, 100??) or a value. An object of interest can be registered with the graphical indicator (100, 100?, 100?, 100??) or its dimension compared with the measurement IFOV and then it is determined whether the temperature measurement of the object can be acceptably calculated. Alternately, data obtained by a matrix of pixel elements may be analyzed to determine whether an accurate temperature can be calculated.

Abstract: Systems and methods can be used for analyzing image data to determine an amount of vibration and/or misalignment in an object under analysis. In some instances, as operating equipment heats up during operation, temperature changes of various portions of the operating equipment leads to changes in dimensions of such portions, leading to misalignment. Multiple sets of data representative of the operating equipment in multiple operating conditions can be used to determine an amount of misalignment due to thermal offsets. Hot and cold temperatures of the equipment can be used to calculate thermal growth of various portions of the equipment, which can be used to determine an amount a misalignment due to thermal offsets. Additionally or alternatively, image data representing the equipment can be used to observe changes in alignment between states.

Abstract: Systems can include a test and measurement tool configured to generate measurement data, and imaging tool configured to generate image data, and a processor in communication with the imaging tool and the test and measurement tool. The processor can be configured to receive image data from the imaging tool and, if the image data satisfies one or more predetermined conditions, trigger the test and measurement tool to perform one or more corresponding operations. Similarly, the processor can receive measurement data from the test and measurement tool and, if the measurement data satisfies one or more predetermined conditions trigger the imaging tool to perform one or more corresponding operations.

Abstract: Systems and methods can be used for analyzing image data to determine an amount of vibration and/or misalignment in an object under analysis. In some instances, as operating equipment heats up during operation, temperature changes of various portions of the operating equipment leads to changes in dimensions of such portions, leading to misalignment. Multiple sets of data representative of the operating equipment in multiple operating conditions can be used to determine an amount of misalignment due to thermal offsets. Hot and cold temperatures of the equipment can be used to calculate thermal growth of various portions of the equipment, which can be used to determine an amount a misalignment due to thermal offsets. Additionally or alternatively, image data representing the equipment can be used to observe changes in alignment between states.

Abstract: A smart phone user captures video and still images of a motor and makes a sound recording of his observations. The images and recordings are tagged with a date/time stamp, a serial number, bar code, matrix code, RFID code, or geolocation and sent wirelessly to an infrared camera. The infrared camera has a collocation application that reads the tag and creates a folder which holds the infrared image and the auxiliary information from the smartphone related to an asset. The collocation program also adds icons to the infrared image. By operating the user interface (not shown) of the infrared camera, the user may select an icon to view the images and listen to the sound recording.

Abstract: Systems and methods directed toward acoustic analysis can include an acoustic sensor array comprising a plurality of acoustic sensor elements, an electromagnetic imaging tool, a distance measuring tool, and a processor in communication with the acoustic sensor array, the electromagnetic imaging tool, and the distance measuring tool. The processor can be configured to generate acoustic image data based on acoustic signals received from the acoustic sensor array and distance information received from the distance measuring tool. The processor can combine the generated acoustic image data and received electromagnetic image data from the electromagnetic imaging tool to create a display image including acoustic image data and electromagnetic image data. The processor can be configured to correct a parallax error between the electromagnetic image data and the acoustic image data based on the received distance information.

Abstract: Systems and methods directed toward acoustic analysis can include an acoustic sensor array comprising a plurality of acoustic sensor elements, an electromagnetic imaging tool, and a processor in communication with the acoustic sensor array and the electromagnetic imaging tool. The processor can be configured to analyze acoustic data to extract one or more acoustic parameters representative of acoustic signals at one or more locations in an acoustic scene and generate a display image that includes electromagnetic image data and acoustic image data. The display image can further include information indicative of the one or more acoustic parameters at one or more locations in the acoustic scene, such as including acoustic image data in the display image at locations in the scene at which the one or more acoustic parameters satisfies a predetermined condition.

Abstract: Systems and methods directed toward acoustic analysis can include a plurality of acoustic sensor arrays, each including a plurality of acoustic sensor elements, and a processor in communication with the plurality of acoustic sensor arrays. The processor can be configured to select one or more of the plurality of acoustic sensor arrays based on one or more input parameters, and generate acoustic image data representative of an acoustic scene based on received acoustic data from the selected one or more acoustic sensor arrays. Such input parameters can include distance information and/or frequency information. Different acoustic sensor arrays can share acoustic sensor elements in common or can be entirely separate from one another. Acoustic image data can be combined with electromagnetic image data from an electromagnetic imaging tool to generate a display image.

Abstract: Systems can include a tool configured to generate a first set of data representative of an object and a control station configured to receive the first set of data from the tool. A mobile device in communication with the control station can receive data from the control station including information regarding the object based on the data received from the tool. A user of the mobile device, such as a technician, can travel to the location of the tool, and, when the mobile device is within a predetermined proximity of the tool, the tool can communicate directly with the mobile device. The technician can use the mobile device to communicate with and control the tool in order to safely perform equipment analysis.

Abstract: Systems and methods detect abnormal conditions in electrical circuits by providing thermal imaging combined with non-contact measurements of current and voltage. Such systems may be implemented in a single test device, or in wired combinations, or in wireless communication implementations with multiple test devices and/or accessories, or in combination with one or more additional devices, such as a mobile phone, tablet, personal computer (PC), cloud-based server, etc. A thermal imaging tool that includes an infrared sensor may first discover and image one or more thermal anomalies in an object, such as an electrical circuit. One or more non-contact current or voltage sensors may be used to measure current and/or voltage, which allows for determination of the power loss at the measured location. The power loss may be used to determine an estimation of the abnormal resistive power losses in a circuit, as well as the costs associated therewith.

Abstract: Tools used to detect underlying structures, such as behind the surface of a wall, can include a first sensor, such as an electromagnetic sensor, configured to generate data indicative of the location of the underlying structure. Tools can include an indicator that provides an indication to a user based on the data. Tools can additionally or alternatively include an infrared imaging device for generating infrared image data indicative of the heat pattern of a scene. A display can display the generated infrared image data. Underlying structures may be visible in the heat pattern of the scene. The tool can indicate the presence of an underlying structure feature to an operator via one or both of the display and the indicator.

Abstract: Systems and methods can be used for analyzing image data to determine an amount of vibration and/or misalignment in an object under analysis. Image distortion present in the image data due to vibration and/or misalignment of the object during operation can be detected automatically or manually, and can be used to determine an amount of vibration and/or misalignment present. The determined amount of vibration and/or misalignment can be used to determine alignment calibration parameters for inputting into an alignment tool to facilitate alignment of the object. Various steps in determining the image distortion and/or the alignment calibration parameters can be performed using single components or can be spread across multiple components in a system.

Abstract: Tools used to detect underlying structures, such as behind the surface of a wall, can include a first sensor, such as an electromagnetic sensor, configured to generate data indicative of the location of the underlying structure. Tools can include an indicator that provides an indication to a user based on the data. Tools can additionally or alternatively include an infrared imaging device for generating infrared image data indicative of the heat pattern of a scene. A display can display the generated infrared image data. Underlying structures may be visible in the heat pattern of the scene. The tool can indicate the presence of an underlying structure feature to an operator via one or both of the display and the indicator.

Abstract: Tools used to detect underlying structures, such as behind the surface of a wall, can include a first sensor, such as an electromagnetic sensor, configured to generate data indicative of the location of the underlying structure. Tools can include an indicator that provides an indication to a user based on the data. Tools can additionally or alternatively include an infrared imaging device for generating infrared image data indicative of the heat pattern of a scene. A display can display the generated infrared image data. Underlying structures may be visible in the heat pattern of the scene. The tool can indicate the presence of an underlying structure feature to an operator via one or both of the display and the indicator.

Abstract: Systems and methods can be used for analyzing image data to determine an amount of vibration and/or misalignment in an object under analysis. Image distortion present in the image data due to vibration and/or misalignment of the object during operation can be detected automatically or manually, and can be used to determine an amount of vibration and/or misalignment present. The determined amount of vibration and/or misalignment can be used to determine alignment calibration parameters for inputting into an alignment tool to facilitate alignment of the object. Various steps in determining the image distortion and/or the alignment calibration parameters can be performed using single components or can be spread across multiple components in a system.

Abstract: Systems and methods can be used for analyzing image data to determine an amount of vibration and/or misalignment in an object under analysis. In some instances, as operating equipment heats up during operation, temperature changes of various portions of the operating equipment leads to changes in dimensions of such portions, leading to misalignment. Multiple sets of data representative of the operating equipment in multiple operating conditions can be used to determine an amount of misalignment due to thermal offsets. Hot and cold temperatures of the equipment can be used to calculate thermal growth of various portions of the equipment, which can be used to determine an amount a misalignment due to thermal offsets. Additionally or alternatively, image data representing the equipment can be used to observe changes in alignment between states.

Abstract: Systems can include a mobile device, an accessory configured to generate data representative of at least one parameter of a device under test, and an isolated test block comprising at least one input for interfacing with the accessory and an output configured to communicate accessory output data. The mobile device can include a display and be configured to receive the accessory output data from the isolated test block and to present a display based at least on received accessory output data. The accessory output data received by the mobile device can be electrically isolated from the accessory to provide protection to a device user and the mobile device.

Abstract: Systems can include a resistance testing device configured to generate resistance data regarding the insulation resistance of equipment under test and a temperature sensing device configured to generate temperature data regarding the temperature of the equipment under test. The system can include a processor configured to receive the resistance data and the temperature data. Based on the received data, the processor can determine normalized resistance data accounting for temperature effects on the measured resistance. Normalized resistance data can indicate a predicted value for the insulation resistance measurement had the measurement been performed at a reference temperature. Thus, insulation resistance values normalized to a common temperature can be more accurately and meaningfully analyzed and trended over time.

Abstract: Tools used to detect underlying structures, such as behind the surface of a wall, can include a first sensor, such as an electromagnetic sensor, configured to generate data indicative of the location of the underlying structure. Tools can include an indicator that provides an indication to a user based on the data. Tools can additionally or alternatively include an infrared imaging device for generating infrared image data indicative of the heat pattern of a scene. A display can display the generated infrared image data. Underlying structures may be visible in the heat pattern of the scene. The tool can indicate the presence of an underlying structure feature to an operator via one or both of the display and the indicator.