Abstract: A method for detecting defects in battery cells includes receiving an X-Ray radiographic image of a battery cell and segmenting the X-Ray radiographic image into regions of interest using a classifier. The method includes processing the segmented X-Ray radiographic image using the classifier to identify features of the battery cell, detecting whether one or more of the features in the processed X-Ray radiographic image is defective using the classifier, and determining using the classifier whether the battery cell is defective based on whether one or more of the features in the processed X-Ray radiographic image is defective.

Abstract: A weld system includes: a robot control module configured to actuate a robot and move a welder along a joint of metal workpieces during welding, the welder being attached to the robot; a weld control module configured to, during the welding, apply power to the welder, supply a shield gas, and supply electrode material; a vision sensor configured to, during the welding, optically measure distances between the vision sensor and locations, respectively, on an outer surface of a weld bead created along the joint by the welder; and a weld module configured to: determine a strength of the weld bead at a location based on: the distances at the location along the joint; and at least one parameter from at least one of the robot control module during the welding, the weld control module during the welding, and a sensor configured to capture data of the welding during the welding.

Abstract: A computer software product adapted for use in a weld inspection system is executed by a processor and is stored in an electronic storage medium of the weld inspection system adapted to facilitate the inspection of a weld of a work product. The computer software product includes a first module and a combination module. The first module is configured to transform first and second raw thermal images, associated with respective first and second heat pulses of at least a portion of the work product having the weld, into respective first and second binary images. The combination module is configured to transform the first and second binary images into a combined binary image for the reduction of noise.

Abstract: A weld system includes: a robot control module configured to actuate a robot and move a welder along a joint of metal workpieces during welding, the welder being attached to the robot; a weld control module configured to, during the welding, apply power to the welder, supply a shield gas, and supply electrode material; a vision sensor configured to, during the welding, optically measure distances between the vision sensor and locations, respectively, on an outer surface of a weld bead created along the joint by the welder; and a weld module configured to: determine a strength of the weld bead at a location based on: the distances at the location along the joint; and at least one parameter from at least one of the robot control module during the welding, the weld control module during the welding, and a sensor configured to capture data of the welding during the welding.

Abstract: A computer software product adapted for use in a weld inspection system is executed by a processor and is stored in an electronic storage medium of the weld inspection system adapted to facilitate the inspection of a weld of a work product. The computer software product includes a first module and a combination module. The first module is configured to transform first and second raw thermal images, associated with respective first and second heat pulses of at least a portion of the work product having the weld, into respective first and second binary images. The combination module is configured to transform the first and second binary images into a combined binary image for the reduction of noise.

Abstract: A method and an apparatus for evaluating a battery cell. The battery cell may include a hermetically sealed outer casing, a plurality of electrically conductive components enclosed within the outer casing, an electrically conductive terminal having a proximal end that extends within the outer casing and a distal end that extends in a longitudinal direction relative to the battery cell outside the outer casing, and a solid electrical and mechanical joint formed between one or more of the electrically conductive components and the proximal end of the electrically conductive terminal. Evaluation of the battery cell may include measuring the impedance of the battery cell while applying a longitudinal pulling force or a transverse bending force to the electrically conductive terminal and the solid electrical and mechanical joint.

Abstract: A method for damage detection and location using acoustic emission includes receiving, via a processor, an acoustic feedback signal from a plurality of sensors embedded in a body panel of a vehicle. The processor identifies a body panel breach and a location of the body panel breach indicative of damage on the body panel. The processor identifies the body panel breach based on the acoustic feedback signal from the plurality of sensors.

Abstract: A method and an apparatus for evaluating a battery cell. The battery cell may include a hermetically sealed outer casing, a plurality of electrically conductive components enclosed within the outer casing, an electrically conductive terminal having a proximal end that extends within the outer casing and a distal end that extends in a longitudinal direction relative to the battery cell outside the outer casing, and a solid electrical and mechanical joint formed between one or more of the electrically conductive components and the proximal end of the electrically conductive terminal. Evaluation of the battery cell may include measuring the impedance of the battery cell while applying a longitudinal pulling force or a transverse bending force to the electrically conductive terminal and the solid electrical and mechanical joint.

Abstract: An automated method for discovering features in a repeatable process includes measuring raw time series data during the process using sensors. The time series data describes multiple parameters of the process. The method includes receiving, via a first controller, the time series data from the sensors, and stochastically generating candidate features from the raw time series data using a logic block or blocks of the first controller. The candidate features are predictive of a quality of a work piece manufactured via the repeatable process. The method also includes determining, via a genetic or evolutionary programming module, which generated candidate features are most predictive of the quality of the work piece, and executing a control action with respect to the repeatable process via a second controller using the most predictive candidate features. A system includes the controllers, the programming module, and the sensors.

Abstract: An automated method for discovering features in a repeatable process includes measuring raw time series data during the process using sensors. The time series data describes multiple parameters of the process. The method includes receiving, via a first controller, the time series data from the sensors, and stochastically generating candidate features from the raw time series data using a logic block or blocks of the first controller. The candidate features are predictive of a quality of a work piece manufactured via the repeatable process. The method also includes determining, via a genetic or evolutionary programming module, which generated candidate features are most predictive of the quality of the work piece, and executing a control action with respect to the repeatable process via a second controller using the most predictive candidate features. A system includes the controllers, the programming module, and the sensors.