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 |
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 |
20090059449 | Series arc fault current interrupters and methods - A circuit interrupter for interrupting current on a line conductor is provided. The circuit interrupter includes separable contacts, a trip mechanism, a bimetal, a microprocessor, a series arc detection sequence, a low-pass filter circuit, and a high-pass filter circuit. The trip mechanism selectively opens the separable contacts when activated. The series arc detection sequence is resident on the microprocessor and includes a plurality of series fault detection algorithms. The low-pass filter circuit provides a low-pass signal to the series arc detection sequence. The high-pass filter circuit provides a high-pass signal to the series arc detection sequence. The sequence selects a particular algorithm from the plurality of algorithms based on the low-pass signal. The sequence calculates a plurality of statistical features from the high-pass signal and sends an output signal to activate the trip mechanism based on a comparison of the plurality of statistical features to the particular algorithm. | 03-05-2009 |
20090119035 | METHOD AND APPARATUS FOR ANALYZING PARTIAL DISCHARGES IN ELECTRICAL DEVICES - A method of analyzing partial discharge data collected from an electrical device includes collecting partial discharge data from a first electrical device belonging to a group of electrical devices. The group of electrical devices is at least partially defined by at least one electrical device classification. The method also includes generating a comparison of at least a portion of the partial discharge data collected from the first electrical device with at least a portion of the partial discharge data collected from at least one second electrical device. The at least one second electrical device is selected from the group of electrical devices that includes the first electrical device. The method further includes transmitting the results. | 05-07-2009 |
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 |
20100194574 | PARTICLE DETECTION SYSTEM AND METHOD OF DETECTING PARTICLES - A method for detecting an aerosol plume includes emitting a light beam from a light source, the light beam having at least one light pulse, wherein the light pulse having a pulse width of between about 10 picoseconds (ps) and about 75 nanoseconds (ns), detecting backscattered light produced by the at least one light pulse interacting with particles in the aerosol plume, determining a presence of the aerosol plume based on the detected backscattered light, and outputting a signal indicating the presence of the aerosol plume. | 08-05-2010 |
20100195089 | WIND VELOCITY MEASUREMENT SYSTEM AND METHOD - A wind anemometer comprises a light source for transmitting pulsed light signals, a receiver for receiving backscattered signals from airborne particles for each pulse of the transmitted pulsed light signals, a detector for detecting the received backscattered signals, and a processor to determine location of the airborne particles with respect to the anemometer based on the detected backscattered signals. The processor estimates wind velocity using changes in location of the airborne particles over at least one time interval. | 08-05-2010 |
20100235025 | SYSTEM AND METHOD FOR OPTIMIZING ENERGY STORAGE COMPONENT USAGE - A system for optimizing energy storage component usage in a vehicle comprising one of a hybrid vehicle and an electric vehicle, the vehicle comprising a computer programmed to identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link of vehicle travel. If the vehicle position is associated with the link data, the computer is programmed to obtain the link data of the link from the database, the link data absent terrain information from the database. The computer is also programmed to determine an expected vehicle power usage of the vehicle based on the obtained link data and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle if the vehicle position is associated with the link data. | 09-16-2010 |
20100235030 | SYSTEM AND METHOD FOR OPERATION OF HYBRID VEHICLES - A system for operating a hybrid vehicle includes a computer programmed to identify a location of a hybrid vehicle, access a map and identify a plurality of links therein, pre-screen the plurality of links to identify if any of the plurality of links is within a given bounds of the current location, and if one or more possible links are identified, then match the current location of the hybrid vehicle to one of the identified links, and upload power data for the hybrid vehicle corresponding to the matched location into a database. | 09-16-2010 |
20110040470 | Starter Control Valve Failure Prediction Machine To Predict and Trend Starter Control Valve Failures In Gas Turbine Engines Using A Starter Control Valve Health Prognostic, Program Product and Related Methods - Starter control valve failure prediction machines, systems, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors. | 02-17-2011 |
20110066409 | NETWORK ATTACK VISUALIZATION AND RESPONSE THROUGH INTELLIGENT ICONS - A network activity visualization system can include an MDL grammar database adapted to store a plurality of MDL grammars, and a pattern matching module adapted to match a received network activity data set against the MDL grammars by calculating a distance of the network activity data set from each MDL grammar. The system can also include an intelligent icon module adapted to receive the MDL grammars and distances of a network data set from each respective MDL grammar, and adapted to generate intelligent icons based on the MDL grammars and distances. The system can further include a display system adapted to display the intelligent icons so as to provide a visual indication of network security. | 03-17-2011 |
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 |
20130133306 | Starter Control Valve Prediction System to Predict and Trend Starter Control Valve Failures in Gas Turbine Engines Using a Starter Control Valve Health Prognostic, Computer Readable Medium and Related Methods - Starter control valve failure prediction machines, systems, computer readable media, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors. | 05-30-2013 |
20130148866 | ASSESSING BIOMETRIC SAMPLE QUALITY USING WAVELETS AND A BOOSTED CLASSIFIER - A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition. | 06-13-2013 |
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 |
20140189703 | SYSTEM AND METHOD FOR DISTRIBUTED COMPUTING USING AUTOMATED PROVISONING OF HETEROGENEOUS COMPUTING RESOURCES - A system for distributed computing includes a job scheduler module configured to identify a job request including request requirements and comprising one or more individual jobs. The system also includes a resource module configured to determine an execution set of computing resources from a pool of computing resources based on the request requirements. Each computing resource of the pool of computing resources has an application programming interface. The pool of computing resources comprises public cloud computing resources and internal computing resources. The system further includes a plurality of interface modules, where each interface module is configured to facilitate communication with the computing resources using the associated application programming interface. The system also includes an executor module configured to identify the appropriate interface module based on facilitating communication with the execution computing resource and transmit jobs for execution to the execution computing resource using the interface modules. | 07-03-2014 |
20140289852 | SYSTEMS AND METHODS FOR REMOTE MONITORING, SECURITY, DIAGNOSTICS, AND PROGNOSTICS - A system includes a physical analysis module, a cyber analysis module, and a determination module. The physical analysis module is configured to obtain physical diagnostic information, and to determine physical analysis information using the physical diagnostic information. The cyber analysis module is configured to obtain cyber security data of the functional system, and to determine cyber analysis information using the cyber security data. The determination module is configured to obtain the physical analysis information and the cyber analysis information, and to determine a state of the functional system using the physical analysis information and the cyber analysis information. The state determined corresponds to at least one of physical condition or cyber security threat. The determination module is also configured to identify if the state corresponds to one or more of a non-malicious condition or a malicious condition. | 09-25-2014 |