SYSTEM AND METHOD FOR THE DYNAMIC ANALYSIS OF EVENT DATA

• US 20160062820A1
• Filed: 03/14/2014
• Published: 03/03/2016
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Dwayne LeRoy Mason, Richard B. Jones
• Original Assignee: Dwayne LeRoy Mason, Richard B. Jones
• Inventors: Jones, Richard B., Mason, Dwayne L.
• Granted Patent: US 10,514,977 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/0721 within a central processing unit [CPU]
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 18/2193 based on specific statistical tests
• CPC Class Codes: G07C 3/08 Registering or indicating the production of the machine either with or without registering working or idle time

Abstract

Disclosed is a system and method for the analysis of event data that enables analysts to create user specified datasets in a dynamic fashion. Performance, equipment and system safety, reliability, and significant event analysis utilizes failure or performance data that are composed in part of time-based records. These data identify the temporal occurrence of performance changes that may necessitate scheduled or unscheduled intervention like maintenance events, trades, purchases, or other actions to take advantage of mitigate or compensate for the observed changes. The criteria used to prompt a failure or performance record can range from complete loss of function to subtle changes in performance parameters that are known to be precursors of more severe events. These specific criteria applied to any explicit specific application and this invention is relevant to this type of data taxonomy and can be applied across all areas in which event data may be collected.

Claims

1. A computerized method for dynamic analysis of event data, the method comprising:

receiving, by a computer system, a data file comprising of condition-based data and failure or performance data, wherein the computer system comprises a memory and a processor, and wherein a user interface program is stored on the memory;

selecting, by the user interface program, a module based on the data file, wherein the module is selected from a group of modules consisting of an condition-based module and a failure or performance data module;

specifying, by the user interface program, a time interval for the analysis;

receiving, by the computer system, a first set of component data based on the specified time interval, wherein the provided component data comprises condition-based data for the specified time interval;

combining the first set of component data into a first single dataset;

filtering the failure or performance data based on the specified time interval;

receiving, by the computer system, a second set of component data based on the specified time interval, wherein the provided component data comprises failure or performance data for the specified time interval;

combining the second set of component data into a second single dataset;

generating, by the processor, a graph based on the first and second single dataset; and

determining, by the processor, an optimal decision based on the generated graph.

2. The method of claim 1, wherein the failure or performance data is selected from the group consisting of manufacturing plants;

the medical, airline, social media, telecommunications, oil and gas, chemicals, hydrocarbon processing, pharmaceutical, biotechnology industries, securities markets, weather, housing and commercial real estate markets.

3. The method of claim 1, wherein the condition based data comprises a input unit, said input unit comprising a database of component ID data.

4. The method of claim 3, wherein a user causes the computer system to perform at least one of the following:

data visualization, trend, or predictive analysis.

5. The method of claim 4, further comprising filtering the failure or performance data based on the time interval.

6. The method of claim 5, wherein the input unit further comprises event compilations.

7. The method of claim 6, wherein the condition-based data comprises event data.

8. The method of claim 7, wherein the optimal decision comprises a preventive maintenance interval.

9. The method of claim 1, wherein the optimal decision comprises a trigger to buy or sell.

10. The system of claim 1, further comprising a computer program stored on a storage subsystem of the computer system, comprising instructions that, when executed, cause the processor to execute the steps of (1) uploading condition, failure or performance or event data using the given failure or performance taxonomy, (2) enabling the user to combine failure or performance or condition groups from different basic elements to form new failure or performance or condition analysis datasets, (3) perform at least one of condition monitoring or valued based trend analysis, (4) perform at least one of statistical trend analysis for failure or performance or event-based data, compute optimal inspection intervals, (5) apply a risk-based decision-making model for optimization, and (6) perform graphical output functions to communicate and document analysis results.