Patent US6480810B1 successfully refreshed from Google Patents.
US6480810B1
Expired / Lapsed
US
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Process for the monitoring and diagnostics of data from a remote asset
Assignee: General Electric Co
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Filing: 2000-10-30
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Granted: 2002-11-12
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Expires: 2020-10-30
Abstract
Abstract A method for processing monitored data from a remote asset to optimize maintenance and operation schedules, the method comprising the steps of collecting data from the remote asset, building a data set based on the data collected, applying statistical scripts to the data set to create a statistical model, comparing the statistical model to the data set, creating a standardization model from the compared statistical model and the data set, applying a trending algorithm to the data, deriving statistical based control limits, and applying the control limits to a new set of collected data.
Inventors
- 👤 Aidan Thomas Cardella
- 👤 Evelyn Varner
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-04 16:22
CPC Classifications
G; G05; G05B; G05B17/00; G05B17/02; G05B23/00; G05B23/02; G05B23/0205; G05B23/0218; G05B23/0224; G05B23/0227; G05B23/0232; G05B23/0259; G05B23/0283; G06; G06Q; G06Q10/00; G06Q10/04; G07; G07C; G07C3/00; G05B2223/00; G05B2223/06
Claims Analysis
Total Claims: 26
Claim 1
Independent Claim
125 words
A method for processing monitored data from a remote asset to optimize maintenance and operation schedules, the method comprising: collecting data from the remote asset; building a data set based on the data collected; applying statistical scripts to the data set to create a statistical model; comparing the statistical model to the data set; creating a standardization model from the compared statistical model and the data set; applying a trending algorithm to the data; deriving statistical based control limits; applying the control limits to a new set of collected data; trending information using a time series modeling optimization technique for determining the remote asset's maintenance and operation schedules; developing optimized maintenance and operation schedules based on the trended information; reporting the schedules to a user.
Claim 2
Independent Claim
125 words
A method for processing monitored data from a remote asset to optimize maintenance and operation schedules, the method comprising: collecting data from the remote asset; building a data set based on the data collected; applying statistical scripts to the data set to create a statistical model; comparing the statistical model to the data set; creating a standardization model from the compared statistical model and the data set; applying a trending algorithm to the data; deriving statistical based control limits; applying the control limits to a new set of collected data; trending information using a time series modeling optimization technique for determining the remote asset's maintenance and operation schedules; developing optimized maintenance and operation schedules based on the trended information; reporting the schedules to a user.
Claim 3
Dependent Claim
23 words
The method of claim 1 wherein the building a data set further comprises using a series of algorithms to build the data set.
Claim 4
Dependent Claim
22 words
The method of claim 2 wherein using a series of algorithms further comprises: creating an anomaly definition; and identifying variables to monitor.
Claim 5
Dependent Claim
46 words
The method of claim 1 wherein the applying statistical scripts further comprises: using a statistical script for centering the data at a predetermined variable; using a statistical script for running a stepwise regression script on the centered data; using a statistical script for un-centering the data.
Claim 6
Dependent Claim
20 words
The method of claim 1 further comprising eliminating extraneous variables discovered during comparing the statistical model to the data set.
Claim 7
Dependent Claim
20 words
The method of claim 1 wherein applying a trending algorithm to the data further comprises determining control chart type limits.
Claim 8
Dependent Claim
25 words
The method of claim 6 wherein determining control chart type limits comprises applying a time series modeling optimization technique to determine control chart type limits.
Claim 9
Dependent Claim
46 words
The method of claim 1 wherein applying the control limits to a new set of data further comprising the steps of: recording the standardization model and data thresholds for implementation in an automated monitoring and diagnostic system; and determining a remote asset's maintenance and operation schedule.
Claim 10
Dependent Claim
24 words
The method of claim 8 further comprising the step of notifying a user of results after determining a remote asset's maintenance and operation schedule.
Claim 11
Independent Claim
127 words
A system for processing monitored data from a remote asset to evaluate and determine a status of the remote asset with minimum user interface, the system comprising: a remote asset; a data gathering module located at the remote asset to collect data about the remote asset; a monitoring and diagnostic service center; respective network interfaces located at the remote asset and the monitoring and diagnostic service center; a processor to manage sending, evaluating, and receiving the data; a process residing in the processor which uses algorithms to build a data set based on the data gathered uses statistical scripts on the data to determine a statistical model, and uses a time series modeling optimization technique to trend information to determine the remote asset's maintenance and operation schedules.
Claim 12
Independent Claim
127 words
A system for processing monitored data from a remote asset to evaluate and determine a status of the remote asset with minimum user interface, the system comprising: a remote asset; a data gathering module located at the remote asset to collect data about the remote asset; a monitoring and diagnostic service center; respective network interfaces located at the remote asset and the monitoring and diagnostic service center; a processor to manage sending, evaluating, and receiving the data; a process residing in the processor which uses algorithms to build a data set based on the data gathered uses statistical scripts on the data to determine a statistical model, and uses a time series modeling optimization technique to trend information to determine the remote asset's maintenance and operation schedules.
Claim 13
Dependent Claim
28 words
The system of claim 10 wherein the remote asset transmits data collected by the data collection module to the process located at the monitoring and diagnostic service center.
Claim 14
Dependent Claim
52 words
The system of claim 10 further comprising: a customer facility; a repair depot; respective network interfaces located at said customer facility and repair depot; wherein the remote asset's maintenance and operation schedules determined by the process are communicated from the monitoring and diagnostic service center to the customer facility and repair depot.
Claim 15
Dependent Claim
20 words
The system of claim 10 wherein the process comprises a sub-process to compare the statistical model to the collected data.
Claim 16
Dependent Claim
23 words
The system of claim 10 wherein the time series modeling optimization technique used in the process is an Exponentially Weighted Moving Average technique.
Claim 17
Dependent Claim
25 words
The system of claim 14 wherein an Auto-Regressive Integrated Moving Average technique is used to calculate a value in the Exponentially Weighted Moving Average technique.
Claim 18
Dependent Claim
30 words
The system of claim 10 wherein the processor further comprises a diagnostic compute engine to determine whether the data is within a specified operating range as determined by the process.
Claim 19
Dependent Claim
17 words
The system of claim 10 wherein the results determined by the process are communicated to a user.
Claim 20
Independent Claim
179 words
A method for processing monitored data from a remote asset to determine whether the data is within a predetermined operating threshold, the method comprising: collecting monitored data from the remote asset; providing a processor; supplying the monitored data to the processor;creating an anomaly definition which comprises acceptable parameters; identifying a first variable; identifying a second set of variables which are used to monitor the first variable; deleting data that is outside of a specified parameter; centering data about a specified variable; running a stepwise regression algorithm; determining whether data is within acceptable parameters; un-centering data if data are within acceptable parameters; running the stepwise regression algorithm on the un-centered data; calculating residuals based on a calculated first variable compared to a predicted first variable; building a standardized variable based on calculated residuals; assessing data before and after standardization to determine whether results are within a predetermined limit; trending the data to determine whether the assessed data is within the predetermined operating threshold; developing optimized maintenance and operation schedules based on the trended data; reporting the schedules to a user.
Claim 21
Independent Claim
179 words
A method for processing monitored data from a remote asset to determine whether the data is within a predetermined operating threshold, the method comprising: collecting monitored data from the remote asset; providing a processor; supplying the monitored data to the processor;creating an anomaly definition which comprises acceptable parameters; identifying a first variable; identifying a second set of variables which are used to monitor the first variable; deleting data that is outside of a specified parameter; centering data about a specified variable; running a stepwise regression algorithm; determining whether data is within acceptable parameters; un-centering data if data are within acceptable parameters; running the stepwise regression algorithm on the un-centered data; calculating residuals based on a calculated first variable compared to a predicted first variable; building a standardized variable based on calculated residuals; assessing data before and after standardization to determine whether results are within a predetermined limit; trending the data to determine whether the assessed data is within the predetermined operating threshold; developing optimized maintenance and operation schedules based on the trended data; reporting the schedules to a user.
Claim 22
Dependent Claim
35 words
The method of claim 18 wherein trending the data further comprises optimizing an Exponentially Weighted Moving Average technique and applying the optimized Exponentially Weighted Moving Average technique to the standardized variable and the monitored data.
Claim 23
Dependent Claim
30 words
The method of claim 18 wherein reporting results to a user further comprises formatting an algorithm to facilitate implementation with a diagnostic compute engine and implementing the diagnostic compute engine.
Claim 24
Dependent Claim
15 words
The method of claim 18 further comprising determining whether the data is within acceptable parameters.
Claim 25
Dependent Claim
20 words
The method of claim 21 further comprising re-running the first stepwise regression if the data is not within acceptable parameters.
Claim 26
Dependent Claim
38 words
The method of claim 18 further comprising identifying a new second set of variables which are used to monitor the first variable and continuing through a build standardization model when assessed data is not within an acceptable limit.
References Cited (Backward Citations)
US5566092A
Cited
US5781871A
Cited
EP0843244A1
Cited
US6014612A
Cited
US6088665A
Cited
WO1999045517A1
Cited
US6262659B1
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2005-11-11 | 2006-05-13 | 2006-11-12 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2009-11-11 | 2010-05-13 | 2010-11-12 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2013-11-11 | 2014-05-13 | 2014-11-12 | $7700.00 | Window Closed / Lapsed |