Nvh Technology LLC

Bioforce Analytics LLC

Balanced Engineering Solution, LLC

Brandon T Fanti

Eric L Canfield

Scott J Soma

Robert P Alston

Ryan M Larue

Saahas S Yechuri

Aron Sun

Joseph H Cottingham

David A Fenimore

Meer Gujral

Rohan Epur

Ethan Reiland

Zoe Kane

Anish Sudini

Amish Saini

Rachel Foster

William Liao

Vineeth Voruganti

Daniel J Gao

Stephen T Buchanan

David M Scribner

David Fenimore

Thomas S Buchanan

Connor D Cozad

Andrew D McEntee

Robert P Warner

Anomaly analysis is performed for a subsystem or component of a vehicle that experiences mechanical vibration during rotation of the subsystem or component using a database of trends of the axis of rotation and trends of vibrational frequencies of a plurality of different subsystems or components with known anomalies, and an artificial intelligence (AI) model. In operation, a first processor triangulates a location of the axis of rotation of the subsystem or component of the vehicle at any instance of time using motion data collected from a plurality of motion measurement sensors that are attached to the subsystem or component, thereby defining locations of the axis of rotation at a plurality of successive instances of time. A second processor determines, using the AI model and the trends of the axis of rotation in the database, points of interest from the locations of the axis of rotation of the subsystem or component at the successive instances of time. The anomaly of the subsystem or component is identified using the AI model and the trends of the axis of rotation and trends of vibrational frequencies in the database, wherein the AI model uses the points of interest in its processing. One or both of a cause of the anomaly and a recommended corrective action to be taken to address the anomaly is generated using the AI model, wherein the AI model uses the identified anomaly of the subsystem or component in its processing. The AI model outputs one or both of the cause of the anomaly, and the recommended corrective action to be taken to address the anomaly.

Method and apparatus for anomaly analysis of a subsystem or component of a vehicle that experiences mechanical vibration during rotation of the subsystem or component of the vehicle

Anomaly analysis is performed for a plurality of subsystems or components of a vehicle that experiences mechanical vibration during operation of the vehicle using a database of vibrational profiles of a plurality of different subsystems or components of the vehicle with known anomalies, and an artificial intelligence (AI) model. Vibrational data is collected of each subsystem or component at any instance of time by a plurality of motion measurement sensors. The plurality of motion measurement sensors are located in the plurality of subsystems or components. The vibrational data is processed in the AI model to create a vibrational profile for each subsystem or component. The anomaly of each subsystem or component is identified by matching, using the AI model, the vibrational profile for each subsystem or component to a profile of an anomaly in the database. The AI model outputs, using the identified anomaly of each subsystem or component, one or both of a cause of the anomaly of each subsystem or component, and a recommended corrective action to be taken to address the anomaly of each subsystem or component.

Method and apparatus for anomaly analysis of a plurality of subsystems or components of a vehicle that experiences mechanical vibration during operation of the vehicle

An apparatus configured to be removably attached to a tire/hub assembly of a vehicle via lug nuts of the tire/hub assembly is used to determine imbalance forces of the tire/hub assembly during motion of the vehicle. The apparatus includes a disk and a plurality of cup-shaped objects fixed at one end to the disk and extending perpendicularly outward from the disk. The plurality of cup-shaped objects are arranged a fixed radial distance from a radial center of the disk in a pattern that matches the lug nuts of the tire/hub assembly. The apparatus is mounted to the vehicle's tire/hub assembly by fitting the plurality of cup-shaped objects over the lug nuts of the tire/hub assembly. The apparatus further includes three inertial measurement units (IMU's) mounted to the disk to measure parameters that are used for calculating the imbalance forces during motion of the vehicle. A method for collecting measurement parameters related to imbalance forces of a tire/hub assembly of a vehicle during motion of the vehicle on a road surface by using the apparatus is also described.

Apparatus and method for measuring imbalance forces of a tire/hub assembly of a vehicle during motion of the vehicle

A method is provided for collecting measurement parameters related to imbalance forces of a tire/hub assembly of a vehicle during motion of the vehicle. An apparatus is removably attached to the tire/hub assembly of the vehicle via lug nuts of the tire/hub assembly. The apparatus includes a disk, a plurality of cup-shaped objects, and one or more inertial measurement units (IMU's) mounted to the disk. Each of the cup-shaped objects are rigidly fixed at one end to the disk and extend perpendicularly outward from the disk. The plurality of cup-shaped objects are arranged a fixed radial distance from a radial center of the disk in a pattern that matches the lug nuts of the tire/hub assembly. The one or more inertial measurement units (IMU's) are mounted to the disk and configured to measure parameters that are used for calculating the imbalance forces during motion of the vehicle.

Method for measuring imbalance forces of a tire/hub assembly of vehicle during motion of the vehicle

An apparatus configured to be removably attached to a tire/hub assembly of a vehicle via lug nuts of the tire/hub assembly is used to determine imbalance forces of the tire/hub assembly during motion of the vehicle. The apparatus includes a disk and a plurality of cup-shaped objects fixed at one end to the disk and extending perpendicularly outward from the disk. The plurality of cup-shaped objects are arranged a fixed radial distance from a radial center of the disk in a pattern that matches the lug nuts of the tire/hub assembly. The apparatus is mounted to the vehicle's tire/hub assembly by fitting the plurality of cup-shaped objects over the lug nuts of the tire/hub assembly. The apparatus further includes one or more inertial measurement units (IMU's) mounted to the disk to measure parameters that are used for calculating the imbalance forces during motion of the vehicle. A method for collecting measurement parameters related to imbalance forces of a tire/hub assembly of a vehicle during motion of the vehicle on a road surface by using the apparatus is also described.

Apparatus and method for measuring imbalance forces of a tire/hub assembly of vehicle during motion of the vehicle

An apparatus configured to be removably attached to a tire/hub assembly of a vehicle via lug nuts of the tire/hub assembly is used to determine imbalance forces of the tire/hub assembly during motion of the vehicle. The apparatus includes a disk and a plurality of cup-shaped objects fixed at one end to the disk and extending perpendicularly outward from the disk. The plurality of cup-shaped objects are arranged a fixed radial distance from a radial center of the disk in a pattern that matches the lug nuts of the tire/hub assembly. The apparatus is mounted to the vehicle's tire/hub assembly by fitting the plurality of cup-shaped objects over the lug nuts of the tire/hub assembly. The apparatus further includes one or more inertial measurement units (IMU's) mounted to the disk to measure parameters that are used for calculating the imbalance forces during motion of the vehicle.

Apparatus for measuring imbalance forces of a tire/hub assembly of a vehicle during motion of the vehicle

A method is provided for reading out contents of a video file having a predefined video file format. The contents include video frames of an object in motion captured by a video recording device, and motion data of an object collected by an inertial measurement unit (IMU) that is attached to the object. The motion data is stored as metadata in one or more time intervals of the video file. Parsing instructions are stored in a computer memory. The parsing instructions indicate how the metadata is parsed into motion data for one or more video frames that are associated with the respective motion data. The contents of the video file are read out using the stored parsing instructions, thereby identifying specific video frames with their respective correlated motion data.

Method for reading out contents of a video file having a predefined video file format

A method is provided for embedding motion data of an object collected by an inertial measurement unit that is attached to the object into a video file that includes video frames of the object in motion captured by a video recording device. The video file has a predefined video file format that is configured to include metadata that is storable at predefined time intervals of the video file. The method operates by capturing video frames of an object in motion and simultaneously collecting motion data of the object, storing the captured video frames in the video file, and storing the collected motion data, converting the motion data to the metadata, and inserting the metadata into one or more time intervals of the video file, wherein the metadata in each time interval includes the metadata for a plurality of successive or preceding video frames.

Method for embedding motion data of an object into a video file to allow for synchronized visualization of the motion data upon playback of the video file

A method is provided for determining a start offset between a video recording device and an inertial measurement unit (IMU) for use in synchronizing motion data of an object collected by the IMU attached to the object with video frames captured by an image sensor of the video recording device of the object in motion. The start offset is then used to synchronize subsequently captured video frames to subsequently collected IMU motion data.

Method for determining a start offset between a video recording device and an inertial measurement unit for use in synchronizing motion data of an object collected by the inertial measurement unit attached to the object with video frames captured by an image sensor of the video recording device of the object in motion

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Coatesville, PA, United States of America

Brandon T Fanti