摘要:
A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.
摘要:
Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions.
摘要:
A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.
摘要:
The present invention is directed to a method for processing records to extract relevant, reusable diagnostic information and make the information available in a form capable of being used by field engineers to speed the diagnosis and repair or adjustment of equipment.
摘要:
Systems and methods for diagnosing or prognosing mobile and/or fixed client assets in a logical and interactive manner. Embodiments of the present invention provide a data analyzer with one or more asset diagnostic models. An asset diagnostic model is configured to logically and systematically interact with a client asset and analyze operational parameter data obtained from the client asset to diagnose a problem with the client asset and/or to predict or forecast future problems or conditions of the client asset.
摘要:
A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.
摘要:
A system for at least a partial underwriting of insurance policies is described. based on the similarity to previous insurance applications, a decision on the current request for underwriting may be made. this decision-making process represents an analogical approach to the placement of an insurance application to an underwriting category, whereby a given insurance application request is compared to previous requests.
摘要:
Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions. Of particular interest is the detection and identification of units' epidemics, which is defined as sustained/increasing numbers of anomalies over time.
摘要:
The present invention discloses system and method for analyzing operational parameter data from a malfunctioning locomotive or other large land-based, self-powered transport equipment. The method allows for receiving new operational parameter data comprising a plurality of anomaly definitions from the malfunctioning equipment. The method further allows for selecting a plurality of distinct anomaly definitions from the new operational parameter data. Respective generating steps allow for generating at least one distinct anomaly definition cluster from the plurality of distinct anomaly definitions and for generating a plurality of weighted repair and distinct anomaly definition cluster combinations. An identifying step allows for identifying at least one repair for the at least one distinct anomaly definition cluster using the plurality of weighted repair and distinct anomaly definition cluster combinations.
摘要:
A system and method are disclosed for aiding a field engineer in the field such as at a remote service facility in analyzing a fault log of a malfunctioning machine such as a locomotive. The method includes obtaining data associated with operation of the malfunctioning machine from a user at a second computing unit coupled via a communications network such as the Internet to a first computing unit such as a centrally located server operable to provide data associated with analysis of the malfunctioning machine, and providing at the second computing unit at least one of a diagnosis of and a repair for the malfunctioning machine based on the data associated with the operation of the malfunctioning machine and the data associated with analysis of the malfunctioning machine.