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261 results about "Prognostics" patented technology

Prognostics is an engineering discipline focused on predicting the time at which a system or a component will no longer perform its intended function. This lack of performance is most often a failure beyond which the system can no longer be used to meet desired performance. The predicted time then becomes the remaining useful life (RUL), which is an important concept in decision making for contingency mitigation. Prognostics predicts the future performance of a component by assessing the extent of deviation or degradation of a system from its expected normal operating conditions. The science of prognostics is based on the analysis of failure modes, detection of early signs of wear and aging, and fault conditions. An effective prognostics solution is implemented when there is sound knowledge of the failure mechanisms that are likely to cause the degradations leading to eventual failures in the system. It is therefore necessary to have initial information on the possible failures (including the site, mode, cause and mechanism) in a product. Such knowledge is important to identify the system parameters that are to be monitored. Potential uses for prognostics is in condition-based maintenance. The discipline that links studies of failure mechanisms to system lifecycle management is often referred to as prognostics and health management (PHM), sometimes also system health management (SHM) or—in transportation applications—vehicle health management (VHM) or engine health management (EHM). Technical approaches to building models in prognostics can be categorized broadly into data-driven approaches, model-based approaches, and hybrid approaches.

Method and apparatus for the discretization and manipulation of sample volumes

Embodiments of the present invention relate to methods and apparatuses for the discretization and manipulation of sample volumes that is simple, robust, and versatile. It is a fluidic device that partitions a sample by exploiting the interplay between fluidic forces, interfacial tension, channel geometry, and the final stability of the formed droplet and/or discretized volume. These compartmentalized volumes allow for isolation of samples and partitioning into a localized array that can subsequently be manipulated and analyzed. The isolation of the discretized volumes along with the device's inherent portability render our invention versatile for use in many areas, including but not limited to PCR, digital PCR, biological assays for diagnostics and prognostics, cancer diagnosis and prognosis, high throughput screening, single molecule and single cell reactions or assays, the study crystallization and other statistical processes, protein crystallization, drug screening, environmental testing, and the coupling to a wide range of analytical detection techniques for biomedical assays and measurements. The minimal fluid interconnects and simple flow geometry makes the device easy to use and implement, economical to fabricate and operate, and robust in its operations.
Owner:UNIV OF WASHINGTON

Method for remain useful life prognostic of lithium ion battery with model active updating strategy

InactiveCN103778280AEasy Adaptive AcquisitionFlexible inferenceElectrical testingSpecial data processing applicationsHealth indexEngineering
The invention relates to a method for remain useful life prognostic of a lithium ion battery with a model active updating strategy. According to a time series obtained through a voltage range of a discharge curve, conversion is conducted so that an equivalent discharge difference series obtained by discharge circulation at each time can be obtained, and therefore a health index time series of the ion battery is obtained; according to correspondence of a discharge voltage series and a time series, prognostic is conducted on the health index series to determine the remain useful life of the battery. Sampling entropy characteristic extraction and modeling are conducted on a charge voltage curve so that a relationship between a complete and accurate charge / discharge process and a battery performance index can be provided. On the basis of a performance index model, a short-term time series prognostic result is continuously updated to a known performance index data series and correlation analysis is conducted. According to the difference of the correlation degrees, retraining is conducted in the mode of training set expansion. The method is different from an existing iteration updating draining method, the prognostic model is updated dynamically, and therefore the prognostic precision is improved.
Owner:SHANGHAI JIAO TONG UNIV
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