Methods and Systems for Hybrid Digital Twin Driven Health Predictions
US-2024359826-A1 · Oct 31, 2024 · US
US9269206B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9269206-B2 |
| Application number | US-201214343899-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 5, 2012 |
| Priority date | Sep 15, 2011 |
| Publication date | Feb 23, 2016 |
| Grant date | Feb 23, 2016 |
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A method and a system for monitoring a measuring chain arranged to collect over time measures relating to a turbojet engine of an aircraft, the system including a processor configured to build a health indicator of the measuring chain based on counting transitions between successive health words defining a validity score of corresponding successive measures.
Opening claim text (preview).
The invention claimed is: 1. A system for monitoring a measuring chain arranged to collect measurements relating to an aircraft turbojet engine, the system comprising: circuitry configured to: build health words by using likelihood and deviation tests between redundant paths of the measuring chain, the likelihood and deviation tests being defined according to parametering thresholds specifically selected for monitoring the measuring chain; build a health indicator of the measuring chain based on counting transitions between successive health words defining a validity score for corresponding successive measurements to detect or predict degradation that could lead to failure of the measuring chain; and acquire the measurements collected by the measuring chain, wherein the circuitry is configured to change values of the parametering thresholds as a function of an observable measured by the measuring chain. 2. The system according to claim 1 , wherein the circuitry is configured to compute a variance indicator for each redundant path included in the measuring chain. 3. The system according to claim 1 , wherein the circuitry is configured to analyze in-flight evolution of flight health indicators to detect intermittent contacts of the measuring chain. 4. The system according to claim 3 , wherein in a case intermittent contacts are detected, the circuitry is configured to analyze the in-flight evolution of the flight health indicators to locate a failure path. 5. The system according to claim 1 , wherein only the likelihood and deviation tests between the redundant paths of the measuring chain are used to build the health words. 6. The system according to claim 1 , wherein the circuitry is configured to build a health indicator table, wherein each row of the health indicator table corresponds to a different health word measured at a first time, and each column of the health indicator table corresponds to the different health word measured at a second time, the first time and the second time being successive measures of time. 7. A system comprising: at least one measuring chain; and at least one monitoring system for monitoring the at least one measuring chain arranged to collect measurement relating to an aircraft turbojet engine, the at least one monitoring system including: circuitry configured to: build health words by using likelihood and deviation tests between redundant paths of the at least one measuring chain, the likelihood and deviation tests being defined according to parametering thresholds specifically selected for monitoring the at least one measuring chain; build a health indicator of the at least one measuring chain based on counting transitions between successive health words defining a validity score for corresponding successive measurements to detect or predict degradation that could lead to failure of the at least one measuring chain; and acquire the measurements collected by the at least one measuring chain, wherein the circuitry is configured to change values of the parametering thresholds as a function of an observable measured by the at least one measuring chain. 8. A method for monitoring a measuring chain arranged to collect measurements relating to an aircraft turbojet engine, the method comprising: building health words by using likelihood and deviation tests between redundant paths of the measuring chain, the likelihood and deviation tests being defined according to parametering thresholds specifically selected for monitoring the measuring chain; building a health indicator of the measuring chain based on counting transitions between successive health words defining a validity score of corresponding successive measures to detect or predict degradation that could lead to failure of the measuring chain; and changing values of the parametering thresholds as a function of an observable measured by the measuring chain.
Indicating performance data, e.g. occurrence of a malfunction · CPC title
Testing gas-turbine engines or jet-propulsion engines · CPC title
Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods · CPC title
based on qualitative trend analysis, e.g. system evolution · CPC title
Testing or inspecting aircraft components or systems · CPC title
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