Rdi Technologies, Inc.

Csi Technology, Inc.

Computational Systems, Inc.

Azima Holdings, Inc.

Technology for Energy Corporation

Transition Innovation, LLC

Symphonyai

Kenneth Ralph Piety

Mark William Slemp

Jeffrey R Hay

James C Robinson

Daniel L Nower

Stewart V Bowers, Iii

William S Johnson

K C Dahl

Joseph A Vrba

Rexford A Battenberg

Willie T King

Anthony John Hayzen

Todd W Reeves

Michael D Rich

Richard W Piety

Raymond E Garvey

Bradley D Pardue

Andrew Carey

Terry G Carpenter

Daniel G Simpson

William F Bethmann, Jr

James Brent Vanvoorhis

Christopher G Hilemon

Raymond Earl Garvey, Iii

Albert Charles Abnett

Ronald G Canada

Thomas E Nelson

Douglas A Mann

Jason Edwards

William A Davis

Arthur R Crawford

Wylie Moreshead

Timothy A Craven

Marvin L Ward

Brian D Heise

E Forrest Pardue

Dana Kendrick Martin

Kenneth C Puterbaugh

Robert Scott Raber

James B Van Voorhis

Miodrag Glumac

Systems and methods are provided to perform PdM surveys using data acquisition units which screen multiple locations where equipment or structures to be evaluated are present. Video data will be acquired and processed to measure translational and vibratory motion and additional data will be collected from other camera, sensors or via data links. The motion present in the equipment or structures under test and the supplemental data will be automatically evaluated to detect suspect equipment conditions and to minimize the amount of video data maintained on the data acquisition unit and transmitted back the central PdM server for review by a PdM analyst and long term archival.

Repetitive video monitoring of industrial equipment by mobile data acquisition units

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting the movements in mechanical structures, inanimate physical structures, machinery, and machine components, including automatically detecting aliased frequencies of a component on the structure which exhibits frequencies higher than the maximum frequency of the FFT spectrum calculated from the acquired data. To automatically detect the presence of aliased frequencies, a second virtually identical recording is acquired using a slightly different sampling rate and this provides the basis for detecting frequencies which are greater than the Nyquist sampling rate of the video recording and calculating the true frequency value of the aliased peaks in the frequency spectrum.

Detection of aliased peak frequencies in video recording

Systems and methods are provided to perform PdM surveys using data acquisition units which scan screen multiple locations where equipment or structures to be evaluated are present. Video data will be acquired and processed to measure translational and vibratory motion and additional data will be collected from other camera, sensors or via data links. The motion present in the equipment or structures under test and the supplemental data will be automatically evaluated to detect suspect equipment conditions and to minimize the amount of video data maintained on the data acquisition unit and transmitted back the central PdM server for review by a PdM analyst and long term archival.

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting rotational or reciprocating movements and speed of rotation or reciprocation in mechanical structures, machines, and machine components, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, thereby calculating a speed of rotation or reciprocation of the structure, machine or machine component.

Measuring the speed of rotation or reciprocation of a mechanical component using one or more cameras

Present embodiments include but are not limited to a video camera which is able to capture and record video data of an entire machine without contacting the machine, to visually study complex motions which vary both in time and spatially at different locations on the machine, wherein filters applied to the motion present in the video recording are used to identify frequencies of importance and to visualize their impact on the operation of the machine, including by removing certain frequencies of lesser interest from the video recording.

Monitoring of objects based on frequency spectrum of motion and frequency filtering

Systems and methods are provided to evaluate moving objects undergoing periodic motion through the screening of a video recording of such objects in motion for frequency peaks in the spectral data, and to determine spatially where these frequencies occur in the scene depicted in the video recording, wherein a frequency spectrum is created for a subset of pixels or virtual pixels and a composite frequency spectrum table or graph is constructed of frequencies that are selected from among the larger group of frequencies represented by the frequency peaks of the spectral data.

Enhanced analysis techniques using composite frequency spectrum data

Embodiments disclosed herein include, but are not limited to, methods for capturing video sampling data comprising a plurality of video images of a moving object, for example using one or more cameras positioned on a stationary frame of reference adjacent to the mechanical component under investigation, in which a change in motion of the moving object is correlated to an origin frame obtained from the sampling data and representing a point at which the change in motion first occurs.

Image acquisition, correlation and detailed visual inspection of component in periodic motion

A method for non-contact modal analysis uses an optical sensing device such as a video camera. Unlike traditional modal analysis, requiring accelerometers or force sensors to measure the modal characteristics of a structure, the inventive system uses pixel displacement measurements from the optical sensor to characterize the modal properties of the device under test. The input or reference signal is measured by an independent data acquisition system and is synchronized with the response motion captured in video recordings.

Synchronization of input data acquisition and camera capture of response for modal analysis

A source video of a scene showing moving objects, undergoing periodic motion in a field of view which may be located in a region of interest, is filtered and processed by constructing a representation such as a frequency spectrum plot of some of the frequencies of motion in the scene or region of interest and enabling a selection of frequency peaks representing one or more pixels in the field of view from which to generate reconstructed waveforms, then applying the reconstructed waveform at each pixel to a reference frame to produce a modified video recording.

Enhanced visualization techniques using reconstructed time waveforms

A remote diagnostic center configured to receive vibration data, field notes information, and diagnostic reports over a communication network from one or more vibration analysis units located at one or more machine sites, including a data center configured to receive, store, and provide secure backup for received vibration data and field notes information, the data center including a communication module, a database management module, a diagnostic analysis module, and a portal module to enable one or more remote analysts to review and collaborate on the received vibration data, field notes information, and diagnostic reports to monitor and report to a diagnostic center manager whether the vibration data and field notes information corresponding to a particular machine-under-test is being processed by an analyst and will be completed within a specified time interval specific to the machine-under-test.

Remote diagnostic systems and methods for predictive maintenance programs

Present embodiments pertain to systems, apparatuses, and methods for analyzing and reporting movements characterized by torsional vibration in mechanical structures, machines, and machine components, through the use of an acquired video recording representing a plurality of cycles of motion, by measuring intensity values of a subset of pixels contained in a region of interest within the video recording in a plurality of frames of the video recording, wherein an application of one or more numerical algorithms to the repeating patterns in the intensity waveform enables the torsional vibration characteristics of the component to be determined.

Measuring the Torsional Vibration of a mechanical component using one or more cameras

Growing community of inventors

Knoxville, TN, United States of America

Kenneth Ralph Piety