Abstract: A metrological interface device includes a printed circuit board (“PCB”) including at least one metrological sensor communication interface and at least one first wireless communication interface. The metrological interface device is in communication with a metrological sensing device via the metrological sensor communication interface. Each metrological sensing device is coupled to a physical asset. Each metrological interface device is configured to receive the metrological data from the metrological sensing device. The metrological interface device is configured to receive metrological data from the metrological sensing device via the metrological sensor communication interface. Metrological data represents physical measurement data associated with the physical asset.

Abstract: A taper gauge that includes an elongate taper assembly that has a tip section and an electronics section that includes a location determining element that collects data related to a measurement area when the tip section is inserted in the measurement area and a power source. An embodiment allows for increased precision, accuracy, and speed for wireless measurement of gaps. A method and system that uses the taper gauge.

Abstract: A computer-implemented system includes a plurality of metrological interface devices. Each metrological interface device is in communication with a metrological sensing device configured to detect metrological data from a physical asset. The computer-implemented system also includes a portable computing device. The portable computing device is configured to a) receive a metrological data set, the metrological data set substantially representing data associated with the physical asset at a point in time, b) process the metrological data set and an asset data model into a processed metrological data set, c) upon determining, based on the processed metrological data set, a metrological variance, recalibrating the asset data model and returning to step (a), and d) upon determining no metrological variance, reporting the metrological data set and the asset data model to at least one report recipient.

Abstract: In some approaches, super-resolution of static and moving objects can be performed. Results of moving object super-resolution may be improved by means of performing image co-registration. The quality of images of moving objects in an automated form may be improved. A sequence of images may be processed wherein objects can be detected and tracked in succeeding frames. A small region around a tracked object may be extracted in each frame. These regions may be co-registered to each other using frequency domain techniques. A set of co-registered images may be used to perform super-resolution of the tracked object. Also described are image processing systems and articles of manufacture having a machine readable storage medium and executable program instructions.

Abstract: The present application provides for feeler gauges. The feeler gauges include a plurality of elongate measuring leaves rotatably coupled on a common axis of rotation with an elongate housing. The leaves may be manually, selectively rotatable between a “home” position wherein the leaves are substantially aligned with the housing and an “extended” position wherein the leaves are spaced from the housing. The leaves may be relatively flexible and substantially flat such that they define a substantially constant thickness. One or more extended leaves may be used to measure the thickness of a clearance or gap. The gauges may be configured to detect, determine or measure the thickness of the leaves that are in the “home” position and/or the “extended” position, and thereby determine the total thickness of a clearance or gap measured by the extended leaves.

Abstract: A computer-implemented system for enhanced automated visual inspection of a physical asset includes a visual inspection device capable of generating images of the physical asset and a computing device including a processor and a memory device coupled to the processor. The computing device includes a storage device coupled to the memory device and coupled to the processor. The storage device includes at least one historic image of the physical asset and at least one engineering model substantially representing the physical asset. The computing device is configured to receive, from a present image source, at least one present image of the physical asset captured by the visual inspection device. The computing device is configured to identify at least one matching historic image corresponding to the at least one present image. The computing device is configured to identify at least one matching engineering model corresponding to the at least one present image.

Abstract: A method for continuously monitoring the working condition of a heat recovery steam generator (“HRSG”) using infrared thermography, comprising the steps of identifying target locations inside the HRSG, positioning one or more infrared cameras to continuously monitor and record the temperature at each target location, generating continuous thermographic images corresponding to selected components and locations at each target locations, comparing the continuous thermographic images to corresponding, stored base line images and generating a set of comparative data reports in real time for each target location in order to predict the life span or potential failure of HRSG components.

Abstract: A system for detecting faint perturbations of interest in an image is described. The system includes a memory comprising the image, and a processor. The processor is configured to estimate a local mean and variance for each of a plurality of pixels in the image, analyze a local region of the image, an image mean, and an image variance using a filter bank, thereby generating a plurality of response vectors, determine a likelihood of a local perturbation in the image using a probability distribution based on the plurality of response vectors, and make a classification decision of the local perturbation. The probability distribution is calculated, for each of the plurality of response vectors, based on a response of each of the plurality of response vectors to the estimated local mean and variance for each of the plurality of pixels. Methods and machine-readable media are also described.