Patent application number | Description | Published |
20080208487 | SYSTEM AND METHOD FOR EQUIPMENT REMAINING LIFE ESTIMATION - A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe. | 08-28-2008 |
20080288280 | SYSTEM AND METHOD FOR MEETING PAYER PROTOCOLS - A system and method for processing healthcare service data is herein disclosed. The system comprising a decision engine in communication with a process manager and a knowledge source. The decision engine receives at least one protocol from the knowledge source that is derived by automated learning and applies the at least one protocol to healthcare service data and transmits a response to the process manager such that the response is indicative of a next workflow step to be taken. | 11-20-2008 |
20090048876 | SYSTEM AND PROCESS FOR A FUSION CLASSIFICATION FOR INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM - A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable. | 02-19-2009 |
20090132855 | AUTOMATED KERNEL EXTRACTION - A method and system for automatically developing a fault classification system from time series data. The sensors need not have been intended for diagnostic purposes (e.g., control sensors). These methods and systems are functionally independent of knowledge related to a particular equipment system, thereby allowing seamless application to multiple systems, regardless of the suite of sensors in each system. Because this algorithm is totally automated, substantial savings in time and development cost can be achieved. The algorithm results in a classification system and a set of features that might be used to develop alternative classification systems without human intervention. | 05-21-2009 |
20090287512 | System And Process For Dominance Classification For Insurance Underwriting Suitable For Use By An Automated System - A risk classification technique that exploits the existing risk structure of the decision problem in order to produce risk categorizations for new candidates is described. The technique makes use of a set of candidates for which risk categories have already been assigned (in the case of insurance underwriting, for example, this would pertain to the premium class assigned to an application). Using this set of labeled candidates, the technique produces two subsets for each risk category: the Pareto-best subset and the Pareto-worst subset by using Dominance. These two subsets can be seen as representing the least risky and the most risky candidates within a given risk category. If there are a sufficient number of candidates in these two subsets, then the candidates in these two subsets can be seen as samples from the two hypothetical risk surfaces in the feature space that bound the risk category from above and below respectively. A new candidate is assigned a risk category by verifying if the candidate lies within these two bounding risk surfaces. | 11-19-2009 |
20090295561 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090299695 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090300417 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20100287478 | SEMI-AUTOMATED AND INTER-ACTIVE SYSTEM AND METHOD FOR ANALYZING PATENT LANDSCAPES - A semi-automated method for interactively analyzing a patent landscape in one embodiment includes retrieving a plurality of relevant patents indicative of a predetermined conceptual region of the patent landscape from a patent repository using a query. Competitive analysis of the plurality of relevant patents is conducted using an interactive network-based visualization technique. The competitive analysis is used for intellectual property enforcement, due diligence, and strategic investment analysis. | 11-11-2010 |
20120083933 | METHOD AND SYSTEM TO PREDICT POWER PLANT PERFORMANCE - The present disclosure relates to the use of hybrid predictive models to predict one or more of performance, availability, or degradation of a power plant or a component of the power plant. The hybrid predictive model comprises at least two model components, one based on a physics-based modeling approach and one based on an observational or data-based modeling approach. The hybrid predictive model may self-tune or self-correct as operational performance varies over time. | 04-05-2012 |
20120154582 | SYSTEM AND METHOD FOR PROTOCOL ADHERENCE - The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence. | 06-21-2012 |
20120191465 | SYSTEM AND METHOD FOR ANALYZING HOSPITAL DATA - The present disclosure relates approaches that may be used to analyze data from hospital records to identify deficiencies in the operation of the hospital. In certain implementations, features of the data may be evaluated in conjunction with performance indicators to identify root causes associated with the deficiencies. In further implementations, identification of root causes of deficiencies identified in the historical data may be used to generate recommendations for changes to the operation of the hospital. In further implementations, events may be predicted based on the identification of a features or features within the current data that is indicative of a pending problem or event. | 07-26-2012 |
20130211785 | METHOD AND SYSTEM FOR DIAGNOSING COMPRESSORS - Method, system and computer software for diagnosing a compressor. The method includes generating a feature vector of the compressor, the feature vector of the compressor including components describing states of various parts of the compressor; determining, based on fuzzy constraints, an aggregated anomaly vector corresponding to the feature vector; defining rules for a preset list of possible faults/failure modes of the compressor; calculating a corroborating measure between the aggregated anomaly vector and the rules; and identifying a fault/failure mode of the compressor based on a result of the corroborating measure. | 08-15-2013 |
20140188767 | Computer-Implemented Methods and Systems for Determining Fleet Conditions and Operational Management Thereof - A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients. | 07-03-2014 |
20140188768 | System and Method For Creating Customized Model Ensembles On Demand - A computer-implemented system for creating customized model ensembles on demand is provided. An input module is configured to receive a query. A selection module is configured to create a model ensemble by selecting a subset of models from a plurality of models, wherein selecting includes evaluating an aspect of applicability of the models with respect to answering the query. An application module is configured to apply the model ensemble to the query, thereby generating a set of individual results. A combination module is configured to combine the set of individual results into a combined result and output the combined result, wherein combining the set of individual results includes evaluating performance characteristics of the model ensemble relative to the query. | 07-03-2014 |
20140188777 | METHODS AND SYSTEMS FOR IDENTIFYING A PRECURSOR TO A FAILURE OF A COMPONENT IN A PHYSICAL SYSTEM - A computer-implemented system for identifying a precursor to a failure of a particular type of component in a physical system is provided. The physical system includes sensors coupled to the physical system. The computer-implemented system includes a computing device, a database, a processor, and a memory device. The memory device includes historical data including sensor measurements. When instructions are executed by the processor, the processor receives the historical data from the memory device. The processor generates a predictive model. The predictive model uses, as inputs, sensor measurements in the historical data. The predictive model is able to differentiate between sensor measurements taken before the repair event and those taken after the repair event without a time of the repair event being an input to the predictive model. The processor designates at least one sensor measurements used as inputs to the predictive model as precursors to the failure of the component. | 07-03-2014 |
20140189702 | SYSTEM AND METHOD FOR AUTOMATIC MODEL IDENTIFICATION AND CREATION WITH HIGH SCALABILITY - A system includes a library of algorithms, and a request module configured to receive an execution request. The system also includes a job scheduler/optimizer module configured to select algorithms from the library and to create at least one execution job based on the algorithms and the execution request. The system further includes a resource module configured to determine execution computing resources from multiple computing sources, including internal computing resources and external computing resources. The system also includes an executor module configured to transmit an execution job to the computing resources. | 07-03-2014 |
20150019269 | System for Rule-Based Insurance Underwriting Suitable for Use by an Automated System - A system for at least a partial underwriting of insurance policies is described. Various rules are created, along with a degree of satisfaction for each rule. Rules may be directed toward various insurance underwriting components (e.g., cholesterol levels, blood pressure, etc.). Based on the degree of satisfaction for each rule, a component may be assigned to a category. Based on the category for each component, the insurance application may be assigned an underwriting category. | 01-15-2015 |