Fluke Corporation

Fluke Electronics Corporation

Michael D Stuart

Dileepa Prabhakar

Joseph V Ferrante

Scott M Tsukamaki

Darwin C Witt

John C Bernet

Luis R Silva

John Neeley

Jordan B Schlichting

Thomas J McManus

Michael Anthony Schoch

Peter A Bergstrom

Lindsey Berdan

Henk Koppelmans

Matthew F Schmidt

Jeffrey M Elrod

James T Pickett

Paul Herman Heydron

Roger Schmidt

Hilton G Hammond

Tyrone Foster

Seyed Navid Roohani Isfahani

Shreyas Shivaram Shastry

Christopher J Bohn

Ronald Ainsworth

Derrick M Jones

Paul H Heydron

Michael A Schoch

Methods and apparatuses that utilize machine learning techniques to identify maintenance assets using sets of machine-health diagnostic images and link individual machine-health diagnostic images to the identified maintenance assets are described. The sets of machine-health diagnostic images may include a set of thermal images, a set of visible-light images, and/or a set of acoustic images. An identified maintenance asset may comprise an individual machine associated with a unique asset identifier. A diagnostic image linking system may acquire machine-health diagnostic images, apply object detection and other computer vision techniques to identify a particular machine within the machine-health diagnostic images, determine machine properties for the particular machine, generate a feature vector using the machine properties, select machine learning models corresponding with maintenance assets, generate predicted answers using the machine learning models, and generate an asset identifier for the particular machine based on the predicted answers.

Automated linking of diagnostic images to specific assets

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.

Multi-modal acoustic imaging tool

Acoustic imaging systems can include an acoustic sensing array, an electromagnetic imaging tool, a display, and an audio device. A processor can receive data from the acoustic sensor array and the electromagnetic imaging tool to generate a display image combining acoustic image data and electromagnetic image data. Systems can include an audio device that receives an audio output from the processor and outputs audio feedback signals to a user. The audio feedback signals can represent acoustic signals from an acoustic scene. Systems can provide a display image to a user including acoustic image data, and a user can select an acoustic signal for which to provide a corresponding audio output to an audio device. Audio outputs and display images can change dynamically in response to a change in pointing of the acoustic sensing array, such as by changing a stereo audio output.

Systems and methods for representing acoustic signatures from a target scene

Systems can include an acoustic sensor array configured to receive acoustic signals, an illuminator configured to emit electromagnetic radiation, an electromagnetic imaging tool configured to receive electromagnetic radiation, a distance measuring tool, and a processor. The processor can illuminate the target scene via the illuminator, receive electromagnetic image data from the electromagnetic imaging tool representative of the illuminated scene, receive acoustic data from the acoustic sensor array, and receive distance information from the distance measuring tool. The processor can be further configured to generate acoustic image data of the scene based on the received acoustic data and received distance information and generate a display image comprising combined acoustic image data and electromagnetic image data. The processor can determine depths of various acoustic signals within a scene and generate a representation of the scene the shows the determined depths, including floorplan and volumetric representations.

Systems and methods for projecting and displaying acoustic data

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.

Imaging tool for vibration and/or misalignment analysis

An acoustic analysis system includes an acoustic sensor array that receives acoustic signals from a target scene and outputs acoustic data based on the received acoustic signals. A processor receives a plurality of acoustic data sets from the acoustic sensor array, representative of the target scene at different points in time. The processor determines one or more locations within the target scene represented by the plurality of acoustic data sets, each being a location of an acoustic signal emitted from the target scene. For each acoustic signal, the processor classifies the acoustic signal as an intermittent acoustic signal or a continuous acoustic signal, generates accumulated-time acoustic image data based on the plurality of acoustic data sets, and generates an accumulated-time display image for presentation on a display. Within the accumulated-time display image, acoustic signals classified as intermittent acoustic signals are distinguished from acoustic signals classified as continuous acoustic signals.

System and method for acoustic imaging with an accumulated-time view

An acoustic analysis system includes an acoustic sensor array that receives acoustic signals from a target scene and outputs acoustic data based on the one or more acoustic signals. A processor receives a first set of acoustic data representing a first portion of the target scene and having a first field of view (FOV), generates a first acoustic image based on the first set of acoustic data, receives a second set of acoustic data representing a second portion of the target scene and having a second FOV, wherein the second FOV is different than the first FOV, generates a second acoustic image based on the second set of acoustic data, registers the first acoustic image and the second acoustic image to form an aligned first acoustic image and second acoustic image, and generate a panorama comprising the aligned first acoustic image and second acoustic image for presentation on a display.

System and method for generating panoramic acoustic images and virtualizing acoustic imaging devices by segmentation

Some systems include an electromagnetic imaging tool configured to receive electromagnetic radiation, a communication interface, a processor in communication with the electromagnetic imaging tool and the communication interface, and a housing. Systems can include a first sensor head having a first plurality of acoustic sensor elements arranged in a first acoustic sensor array. The communication interface can provide communication between the processor and the sensor head via wired or wireless communication. The communication interface can comprise a docking port in communication with the processor and configured to removably receive a corresponding docking mechanism of the first sensor head. Some systems may include a second sensor head having a second plurality of acoustic sensor elements. The second sensor head may be interchangeably connectable to the communication interface and/or the first sensor head.

Systems and methods for detachable and attachable acoustic imaging sensors

Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a user interface, a display, and a processor. The processor can receive electromagnetic data from the electromagnetic imaging tool and acoustic data from the acoustic sensor array. The processor can generate acoustic image data of the scene based on the received acoustic data, generate a display image comprising combined acoustic image data and electromagnetic image data, and present the display image on the display. The processor can receive an annotation input from the user interface and update the display image based on the received annotation input. The processor can be configured to determine one or more acoustic parameters associated with the received acoustic signal and determine a criticality associated with the acoustic signal. A user can annotated the display image with determined criticality information or other determined information.

Systems and methods for analyzing and displaying acoustic data

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.

Portable acoustic imaging tool with scanning and analysis capability

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.

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Issaquah, WA, United States of America

Michael D Stuart