Abstract: Systems and techniques that facilitate detecting fuel in oil, lube degradation, and foreign object contamination through optical and/or color characterization are provided. A signature component can generate a digital signature corresponding to a lubricant in a lubrication circuit of an engine. The digital signature can be based on optical or visual properties of a sensor array coupled to the lubrication circuit and exposed to the lubricant, wherein the optical or visual properties of the sensor array can depend on a health of the lubricant. An analysis component can characterize the health of the lubricant by comparing, via a machine learning algorithm, the digital signature with a baseline digital signature corresponding to a desired health-level of the lubricant. In some embodiments, a light emitter component can emit a first light onto the sensor array, and a light receiver component can receive a second light emitted by the sensor array in response to the first light.

Abstract: Various embodiments of systems and methods for component-specific and source agnostic localization are described herein. An adapter interface is provided for one or more adapters such that the one or more adapters implement the adapter interface with a plurality of sources having a plurality of data formats. The plurality of sources includes localization adaptation content. One or more localization bundles are created for one or more consuming components. Each localization bundle is associated with at least one adapter of the one or more adapters. The one or more localization bundles are registered with a localization service. The localization service is consumed for obtaining portions of the localization adaptation content required for the one or more consuming components.