WO2013037865A1 - Procédé et dispositif de surveillance de système de lubrification - Google Patents
Procédé et dispositif de surveillance de système de lubrification Download PDFInfo
- Publication number
- WO2013037865A1 WO2013037865A1 PCT/EP2012/067903 EP2012067903W WO2013037865A1 WO 2013037865 A1 WO2013037865 A1 WO 2013037865A1 EP 2012067903 W EP2012067903 W EP 2012067903W WO 2013037865 A1 WO2013037865 A1 WO 2013037865A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- lubrication system
- oil
- residual
- data
- model
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 150
- 238000005461 lubrication Methods 0.000 title claims abstract description 110
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 230000002123 temporal effect Effects 0.000 claims abstract description 49
- 230000000694 effects Effects 0.000 claims abstract description 33
- 238000005259 measurement Methods 0.000 claims description 25
- 239000003350 kerosene Substances 0.000 claims description 15
- 230000035945 sensitivity Effects 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 3
- 230000032683 aging Effects 0.000 description 8
- 238000001514 detection method Methods 0.000 description 7
- 239000011159 matrix material Substances 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000010006 flight Effects 0.000 description 5
- 230000001419 dependent effect Effects 0.000 description 4
- 230000014509 gene expression Effects 0.000 description 4
- 230000007704 transition Effects 0.000 description 4
- 230000007423 decrease Effects 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000009897 systematic effect Effects 0.000 description 3
- 101000802640 Homo sapiens Lactosylceramide 4-alpha-galactosyltransferase Proteins 0.000 description 2
- 102100035838 Lactosylceramide 4-alpha-galactosyltransferase Human genes 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003071 parasitic effect Effects 0.000 description 2
- 230000002829 reductive effect Effects 0.000 description 2
- 230000000717 retained effect Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000021615 conjugation Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000010339 dilation Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000009916 joint effect Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 244000045947 parasite Species 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000032258 transport Effects 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01M—LUBRICATING OF MACHINES OR ENGINES IN GENERAL; LUBRICATING INTERNAL COMBUSTION ENGINES; CRANKCASE VENTILATING
- F01M11/00—Component parts, details or accessories, not provided for in, or of interest apart from, groups F01M1/00 - F01M9/00
- F01M11/10—Indicating devices; Other safety devices
- F01M11/12—Indicating devices; Other safety devices concerning lubricant level
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
- F01D25/00—Component parts, details, or accessories, not provided for in, or of interest apart from, other groups
- F01D25/18—Lubricating arrangements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/80—Arrangements for signal processing
- G01F23/802—Particular electronic circuits for digital processing equipment
- G01F23/804—Particular electronic circuits for digital processing equipment containing circuits handling parameters other than liquid level
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/025—Details with respect to the testing of engines or engine parts
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01M—LUBRICATING OF MACHINES OR ENGINES IN GENERAL; LUBRICATING INTERNAL COMBUSTION ENGINES; CRANKCASE VENTILATING
- F01M11/00—Component parts, details or accessories, not provided for in, or of interest apart from, groups F01M1/00 - F01M9/00
- F01M11/06—Means for keeping lubricant level constant or for accommodating movement or position of machines or engines
- F01M11/062—Accommodating movement or position of machines or engines, e.g. dry sumps
- F01M11/065—Position
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2210/00—Applications
- F16N2210/02—Turbines
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2230/00—Signal processing
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2250/00—Measuring
- F16N2250/08—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2250/00—Measuring
- F16N2250/16—Number of revolutions, RPM
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N2250/00—Measuring
- F16N2250/18—Level
Definitions
- the invention relates to a method for monitoring a lubrication system.
- the invention relates to a device for monitoring a lubrication system.
- US2009/107771 A1 has different drawbacks. This method uses a nominal oil consumption but does not perform any adjustment of it because of the engine ageing. However, it is known by the one skilled in the art that such a nominal oil consumption generally increases with engine ageing. Moreover, the method of US2009/107771 A1 does not take into account any gulping phenomenon. Gulping represents an oil quantity that is not contained in the oil tank when an aircraft engine associated with the lubrication system is running. This oil quantity is typically retained in the gearboxes, bearings and gears. As gulping phenomenon is not taken into account, the method of US2009/107771 A1 lacks in precision.
- the robustness is still increased. Indeed, the use of accumulated input data allows one to work with averaged signals or statistics that are less dependent on noise. As the robustness is increased, one can reduce the levels of faults detections and so increase the sensitivity of the method. As a consequence, the method of the invention presents both a higher sensitivity and a stronger robustness with respect to the method of EP2072762A1 .
- the decision method for generating the diagnostic output data accounts for the temporal history of the residual, the method of the invention allows one to minimize the delay for detecting a fault: by knowing a temporal evolution of the residual, the decision method has more information than only considering instantaneous values of the residual and the delay of fault detection can then be reduced. Last, the steps of the method of the invention allow a person skilled in the art to perform a systematic on-line monitoring of a lubrication system.
- T is an oil temperature in an oil tank
- P and R are pitch and roll angles of said aircraft
- v(k) 1 ⁇ 1 ⁇ - 0.6
- a and B are two constant parameters.
- Outliers can include faulty measurements as an example but also measurements recorded during operating conditions that do not meet hypotheses associated with the model. Extracting outliers before adjusting the parameters of the model allows avoiding deviations of the estimated parameters from their "true" value.
- a subset of calibration data is selected in order to get maximum information from the calibration data. This selection allows one to balance the number of calibration data corresponding to different operating phases of an aircraft engine associated with the lubrication system.
- the term "balance" means that the subset of calibration data comprises a number of calibration data for each phase of the aircraft that is nearly the same.
- a change in mean of the residual is detected when one of two decision functions, g f ° and gj, crosses a user defined threshold, h f .
- the method of the invention further comprises the following steps for determining parameters of said CUSUM algorithm:
- o r x is the residual computed with the fault free conditions set of data
- o ⁇ is an estimated standard deviation of r 1 ;
- the use of a Kalman filter for generating the temporal evolution of the residual and the use of a CUSUM algorithm for the decision method allow one to easily perform an on-line monitoring of the lubrication system as recursive equations are then used (see the detailed description of preferred embodiments).
- the method of the invention is preferably used on-line; on-line monitoring means that the method of the invention is able to monitor the lubrication system of an aircraft engine during flight.
- the use of a CUSUM algorithm (or a set of CUSUM algorithms) allows one to minimize the delay for detection of the fault by accumulating the effects of the fault on the residual.
- Fig.7 shows a device according to the invention.
- a residual r is an indicator of health that takes predetermined values in absence of faults and deviates from these predetermined values on average in presence of faults. Preferably, these predetermined values correspond to small values in absence of faults (or in normal working conditions).
- h m (k) (respectively h sim (k)) represents a measured (respectively simulated) oil level 50 in the tank at time index k.
- the simulated oil level h sim (k) is typically obtained from the model 310 into which some of the input data 210 (such as temperature) have been introduced.
- This preferred method for generating a residual uses a Kalman filter.
- the proposed Kalman filter is implemented in two steps: measurement update and time update. Such a filter is notably described in the book entitled “Diagnostic and Fault-Tolerant Control", Springer 2006 by M.
- ⁇ ⁇ is determined by evaluating a change in mean that the residual r undergoes when a leak with a fixed magnitude (depending of the chosen value of /) is simulated.
- h f is set in order to avoid false detection in processing experimental data and can be determined in a heuristic way.
- h f is determined by taking a value that is 10 % larger than the maximum value of the decision function corresponding to a healthy state.
- c is an adjustable parameter of the model 310.
- Equation (Eq. 19) takes into account thermal effects.
- the preferred model 310 uses equation (Eq. 20) to link the oil level 50 that is measured, (input data h m of the set S1 of input data 210) and the oil level 50 h entering equation (Eq. 19):
- hm(k) - ⁇ m c (k) - a ⁇ - a 2 ⁇ + ⁇ m 0 + a P (l - cos P(fc)) + a R (1 - cos R (k)) (Eq. 23) and a R are adjustable parameters of the model 310 and m 0 can be measured before the aircraft engine 1 10 start up.
- the time abscissa is in second.
- the curve 400 corresponds to normal conditions whereas the curve 410 relates to the evolution of oil level when oil and kerosene leaks occur.
- Curve 400 has been simulated for a typical flight profile whereas curve 410 has been simulated from curve 400 by adding the effect of an oil leak of 2 L/h in the time interval 1000 s to 5000 s (appearance at arrow 420), and the joint effect of an oil and kerosene leak (appearance at arrow 430) both with magnitude 2 L/h after 5000 s.
- the corresponding data have been processed by the method of the invention.
- the second graph shows the time evolution of the corresponding residual r
- the third (respectively fourth) graph shows the corresponding time evolution of the function g_° 2 (respectively gi 2 )-
- the parameters entering the model 310 of the lubrication system 1 such as and m 0 are adjusted by the following procedure.
- the procedure that is now detailed is particularly efficient when dealing with a lubrication system 1 of an aircraft engine 1 10.
- Such a procedure can be of primary importance as the performance of a monitoring method to provide valuable diagnostic output data 220 strongly depends on the model 310 used for the lubrication system 1 and on its parameters.
- the parameters a 1 ; a 2 , c, a P , a R vary with the aging or with the replacement of components of the lubrication system 1 or of the device associated with it (such as an aircraft engine 1 10).
- m 0 typically varies because of oil consumption or because of refilling of an oil tank 40.
- An aging of components typically results in an increase of oil consumption ; a replacement of components leads to a modification of the oil quantity hidden due to the gulping effect.
- the proposed procedure for adjusting the parameters allows a modification of the parameters between two flights of an aircraft. Parameters and m 0 are first adjusted from calibration data acquired during a previous flight. After, m 0 is corrected when the aircraft engine 1 10 is started up, ie between two flights.
- Equation (Eq. 26) can be rewritten:
- Outliers extraction from the set of calibration data 300 is preferably performed with an Iterative Reweighted Least Squares (I RLS) method in which, for each time index k, a weight w of ⁇ is calculated from an estimation error e.
- I RLS method is notably described in "Robust Estimation of a Location Parameter", by Huber, P. J. (1 964), Annals of Mathematical Statistics 35:73— 1 01 .
- step 3 a next estimation of the parameters given by (Eq. 30) is then given by the following equation :
- the N elements of matrix ⁇ ⁇ are chosen such that the condition number of matrix ⁇ ⁇ ⁇ ⁇ ⁇ is non zero.
- the procedure is stopped if the increase in the determinant det(0 N 0 N T ) is less than 10 ⁇ 3 after an exchange between an element of ⁇ ⁇ and an element of 0 NC .
- the invention may also be described as follows.
- the invention relates to a method for monitoring a lubrication system 1 .
- the method comprises the steps of: providing at least one temporal evolution of at least one input data 210; providing a model 310 of said lubrication system 1 comprising parameters; generating diagnostic output data 220 of said lubrication system 1 .
- the step of generating diagnostic output data 220 of the lubrication system 1 comprises the following steps: generating a temporal evolution of a residual 200 from said at least one temporal evolution of said at least one input data 210 and from said model 310; generating said diagnostic output data 220 by using a decision method 140 applied to said residual 200 and accounting for said temporal evolution of said residual.
- the method is characterized in that the model 310 includes a unique or single gulping effect for any flight conditions of the aircraft.
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Fluid Mechanics (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
Selon un premier aspect, l'invention a pour objet un procédé de surveillance d'un système de lubrification (1). Le procédé consiste à fournir au moins une évolution dans le temps d'au moins une donnée d'entrée (210) ; à utiliser un modèle (310) dudit système de lubrification (1) comportant des paramètres ; à générer des données de sortie de diagnostic (220) dudit système de lubrification (1). L'étape de génération de données de sortie de diagnostic (220) du système de lubrification (1) comporte les étapes suivantes : la génération d'une évolution dans le temps d'un résidu (200) de ladite ou desdites évolutions dans le temps de ladite ou desdites données d'entrée (210) et dudit modèle (310) ; la génération desdites données de sortie de diagnostic (220) en utilisant un procédé de décision (140) appliqué audit résidu (200) et en prenant en compte ladite évolution dans le temps dudit résidu. Le procédé est caractérisé en ce que le modèle (310) inclut un effet d'avalement unique quelles que soient les conditions de vol de l'avion.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP11181370 | 2011-09-15 | ||
EP11181370.5 | 2011-09-15 |
Publications (1)
Publication Number | Publication Date |
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WO2013037865A1 true WO2013037865A1 (fr) | 2013-03-21 |
Family
ID=46880697
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2012/067903 WO2013037865A1 (fr) | 2011-09-15 | 2012-09-13 | Procédé et dispositif de surveillance de système de lubrification |
Country Status (1)
Country | Link |
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WO (1) | WO2013037865A1 (fr) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3173882A1 (fr) * | 2015-11-30 | 2017-05-31 | United Technologies Corporation | Procédé de détection de consommation d'huile en temps réel |
FR3044404A1 (fr) * | 2015-11-27 | 2017-06-02 | Turbomeca | Systeme de surveillance d'une quantite d'huile d'un reservoir d'un moteur d'aeronef. |
EP3369895A3 (fr) * | 2017-03-02 | 2018-11-14 | General Electric Company | Système et procédé de surveillance d'un système de lubrification d'une turbomachine utilisant un modèle |
CN109506940A (zh) * | 2018-12-04 | 2019-03-22 | 中国航发贵阳发动机设计研究所 | 民用航空发动机滑油系统叶轮式径向收油环试验方法 |
US10378692B2 (en) | 2016-02-11 | 2019-08-13 | Honeywell International Inc. | Method and system for APU oil level indication |
FR3082938A1 (fr) * | 2018-06-25 | 2019-12-27 | Elichens | Procede d'etablissement d'une cartographie d'une quantite d'un analyte dans l'environnement |
CN111272243A (zh) * | 2020-03-19 | 2020-06-12 | 上海陆根智能传感技术有限公司 | 一种高精度油耗仪 |
FR3093806A1 (fr) * | 2019-03-15 | 2020-09-18 | Safran Aircraft Engines | Procédé de détection d’une fuite éventuelle de carburant dans un circuit d’huile d’un moteur d’aéronef |
EP3736547A1 (fr) * | 2019-05-10 | 2020-11-11 | Pratt & Whitney Canada Corp. | Système et procédé de détection de défaut pour dispositif de détection de niveau de liquide |
US11192660B2 (en) | 2016-02-11 | 2021-12-07 | Honeywell International Inc. | Method and system for APU oil level indication |
EP3974623A1 (fr) * | 2020-09-23 | 2022-03-30 | Rolls-Royce plc | Système et procédé de détermination de grande consommation d'huile dans un moteur à turbine à gaz |
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EP1063498A2 (fr) * | 1999-06-25 | 2000-12-27 | Volkswagen Aktiengesellschaft | Procédé et dispositif pour la détermination d'une quantité de liquide dans un récipient en mouvement |
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US20090107771A1 (en) | 2007-10-25 | 2009-04-30 | United Technologies Corporation | Oil consumption monitoring for aircraft engine |
EP2072762A1 (fr) | 2007-12-21 | 2009-06-24 | Techspace Aero SA | Méthode de contrôle de la consommation et de détection de fuites dans un système de lubrification de turbomachine |
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2012
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EP1063498A2 (fr) * | 1999-06-25 | 2000-12-27 | Volkswagen Aktiengesellschaft | Procédé et dispositif pour la détermination d'une quantité de liquide dans un récipient en mouvement |
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EP2072762A1 (fr) | 2007-12-21 | 2009-06-24 | Techspace Aero SA | Méthode de contrôle de la consommation et de détection de fuites dans un système de lubrification de turbomachine |
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Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3044404A1 (fr) * | 2015-11-27 | 2017-06-02 | Turbomeca | Systeme de surveillance d'une quantite d'huile d'un reservoir d'un moteur d'aeronef. |
EP3173882A1 (fr) * | 2015-11-30 | 2017-05-31 | United Technologies Corporation | Procédé de détection de consommation d'huile en temps réel |
US10378692B2 (en) | 2016-02-11 | 2019-08-13 | Honeywell International Inc. | Method and system for APU oil level indication |
US11192660B2 (en) | 2016-02-11 | 2021-12-07 | Honeywell International Inc. | Method and system for APU oil level indication |
EP3369895A3 (fr) * | 2017-03-02 | 2018-11-14 | General Electric Company | Système et procédé de surveillance d'un système de lubrification d'une turbomachine utilisant un modèle |
FR3082938A1 (fr) * | 2018-06-25 | 2019-12-27 | Elichens | Procede d'etablissement d'une cartographie d'une quantite d'un analyte dans l'environnement |
WO2020002814A1 (fr) * | 2018-06-25 | 2020-01-02 | Elichens | Procédé d'établissement d'une cartographie d'une quantité d'un analyte dans l'environnement |
CN109506940A (zh) * | 2018-12-04 | 2019-03-22 | 中国航发贵阳发动机设计研究所 | 民用航空发动机滑油系统叶轮式径向收油环试验方法 |
FR3093806A1 (fr) * | 2019-03-15 | 2020-09-18 | Safran Aircraft Engines | Procédé de détection d’une fuite éventuelle de carburant dans un circuit d’huile d’un moteur d’aéronef |
WO2020188179A1 (fr) * | 2019-03-15 | 2020-09-24 | Safran Aircraft Engines | Procede de detection d'une fuite eventuelle de carburant dans un circuit d'huile d'un moteur d'aeronef |
CN113518851A (zh) * | 2019-03-15 | 2021-10-19 | 赛峰航空器发动机 | 飞行器发动机油路中可能燃料泄漏的检测方法 |
US12180850B2 (en) | 2019-03-15 | 2024-12-31 | Safran Aircraft Engines | Method for detecting a possible fuel leak in an oil circuit of an aircraft engine |
EP3736547A1 (fr) * | 2019-05-10 | 2020-11-11 | Pratt & Whitney Canada Corp. | Système et procédé de détection de défaut pour dispositif de détection de niveau de liquide |
US11125603B2 (en) | 2019-05-10 | 2021-09-21 | Pratt & Whitney Canada Corp. | Fault detection system and method for liquid level sensing device |
CN111272243B (zh) * | 2020-03-19 | 2021-10-12 | 上海陆根智能传感技术有限公司 | 一种高精度油耗仪 |
CN111272243A (zh) * | 2020-03-19 | 2020-06-12 | 上海陆根智能传感技术有限公司 | 一种高精度油耗仪 |
EP3974623A1 (fr) * | 2020-09-23 | 2022-03-30 | Rolls-Royce plc | Système et procédé de détermination de grande consommation d'huile dans un moteur à turbine à gaz |
US11988143B2 (en) | 2020-09-23 | 2024-05-21 | Rolls-Royce Plc | System and method for determining high oil consumption in gas turbine engine |
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