Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to capture images with subjects at different depths of fields. For instance, a method of processing image data includes obtaining a first image captured using an image sensor with a first exposure. The method may further include obtaining a second image captured using the image sensor with a second exposure. The method may include compressing the second image based on a comparison of the second image with the first image and storing the compressed second image in a memory. The method may further include obtaining the compressed second image from the memory and decompressing the compressed second image based on a difference between the compressed second image and the first image. The method may further include generating a combined image at least in part by combining the first image and the second image.

Abstract: The technology includes methods, a system, and a computer readable medium for predicting the time to failure of an electronic component, by generating a finite element model of the component, developing a microstructure-based failure model for each representative volume element associated with each node in the finite element model, and calculating a time to failure of the component from the shortest predicted time to failure of any node when a value of a stress variable is applied to the microstructure-based failure model of each node. The technology further includes methods, system, and a medium programmed to predict failure of a system that includes an electronic component, based on predicting time to failure of the component.

Abstract: The technology includes methods, a system, and a computer readable medium for predicting the failure of an electronic device during design of the device, by receiving data associated with the device, the data including data indicative of a device response to a specific load on the system while the device is in operation, and predicting potential failure of the device using a probabilistic model and the data, wherein the probabilistic model utilizes at least one of fast probability methods and simulation techniques.

Abstract: An apparatus for testing failure of a material used in a jet engine, and more particularly to an apparatus that uses one or more miniature jet engine components made from a material used in a full-size jet engine and desired to be tested. The apparatus permits easy removal and disassembly of a jet engine mounted thereon as well as real-time measurements of run-time parameters. The methods and apparatus provide for predicting and analyzing failure by a number of fatigue-related mechanisms including creep, fatigue, crack growth, foreign object damage, fretting, erosion, and stress corrosion. The apparatus also permits testing of a component placed in the exhaust gases of a jet engine mounted therein.

Abstract: An apparatus for testing failure of a material used in a jet engine, and more particularly to an apparatus that uses one or more model jet engine components made from a material used in a full-size jet engine and desired to be tested. The apparatus permits easy removal and disassembly of a jet engine mounted thereon as well as real-time measurements of run-time parameters. The methods and apparatus provide for predicting and analysing failure by a number of fatigue-related mechanisms including creep, fatigue, crack growth, foreign object damage, fretting, erosion, and stress corrosion.

Abstract: An apparatus for testing failure of a material used in a jet engine, and more particularly to an apparatus that uses one or more model jet engine components made from a material used in a full-size jet engine and desired to be tested. The apparatus permits easy removal and disassembly of a jet engine mounted thereon as well as real-time measurements of run-time parameters. The methods and apparatus provide for predicting and analysing failure by a number of fatigue-related mechanisms including creep, fatigue, crack growth, foreign object damage, fretting, erosion, and stress corrosion.

Abstract: The technology includes for methods, a system, and a computer readable medium for modeling the failure of an electronic component, based on a detailed simulation of fatigue mechanisms in the component. The technology further includes methods, system, and a medium programmed to predict failure of a system that includes an electronic component, based on modeling one or more fatigue mechanisms in the component.

Abstract: The invention regards a system reliability or failure predicting apparatus and method that incorporates known information about system component failure into a system model and uses the model with or without other acquired system data to predict the probability of system failure. An embodiment of the method includes using probabilistic methods to create a system failure model from the failure models of individual system components, predicting the failure of the system based on the component models and system data, ranking the sensitivity of the system to the system variables, and communicating a failure prediction.

Abstract: An initial and maintenance cost of each component as well as a period over which to determine a total ownership cost is received. It is then ascertained whether each failed component should be repaired or replaced, and whether any component related to a failed component should be maintained. A supplier and associated initial cost is then selected for each component. The failure of each component over the period is predicted. A total ownership cost of the system is then determined by summing each component's initial cost and the maintenance cost of each failed component. The method may then repeat itself for a different supplier and associated different initial cost, until the total ownership cost is the same as or less than a target total ownership cost. The total ownership cost or a list of preferred suppliers and their associated components may then be displayed to the user.

Abstract: The invention regards a system reliability or failure predicting apparatus and method that incorporates known information about system component failure into a system model and uses the model with or without other acquired system data to predict the probability of system failure. An embodiment of the method includes using probabilistic methods to create a system failure model from the failure models of individual system components, predicting the failure of the system based on the component models and system data, ranking the sensitivity of the system to the system variables, and communicating a failure prediction.