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    • 5. 发明授权
    • Method of analyzing the performance of gas turbine engines
    • 分析燃气轮机发动机性能的方法
    • US07890296B2
    • 2011-02-15
    • US11887618
    • 2006-04-13
    • Stephen G. Brown
    • Stephen G. Brown
    • G06F17/40G06F11/00
    • G05B23/0254
    • A method of analysing measured data from a system having multiple associated system variables, the method including the steps of: a) optimizing an error function relating the measured data to a predetermined number of the system variables to adjust the system variables; b) selecting a subset of the adjusted variables; and c) re-optimizing the error function by adjusting only the variables in the subset. A method of identifying likely contributors to an error caused in measured data from a system which has multiple associated system variables. A method of analysing measured engine service or test data form an engine having a plurality of associated system variables, includes the step of optimizing an error function which relates the measured data to a predetermined number of the system variables, by least-absolutes optimization wherein the error function is a sum of absolute variations.
    • 一种分析来自具有多个关联系统变量的系统的测量数据的方法,所述方法包括以下步骤:a)优化将测量数据与预定数量的系统变量相关联的误差函数,以调整系统变量; b)选择调整变量的子集; 和c)通过只调整子集中的变量来重新优化误差函数。 识别来自具有多个相关系统变量的系统的测量数据引起的错误的可能贡献者的方法。 分析测量的发动机服务或测试数据形成具有多个相关系统变量的发动机的方法包括优化通过最小绝对优化将测量数据与预定数量的系统变量相关联的误差函数的步骤,其中, 误差函数是绝对变量的总和。
    • 6. 发明申请
    • ANALYSIS METHOD
    • 分析方法
    • US20100042367A1
    • 2010-02-18
    • US12449768
    • 2008-03-05
    • Stephen G. Brown
    • Stephen G. Brown
    • G06F15/00
    • G05B17/02G05B23/0294
    • A method is provided of analysing measured parameter values, in relation to corresponding expected parameter values, from a system which has a plurality of associated system variables. The method includes the step of optimising an error function which relates said measured parameter values to the system variables. The step of optimising the error function includes adjusting the system variables to vary the expected parameter values and thereby vary the amount of error represented by the error function. A portion of the system variables are adjusted independently of each other. A further portion of the system variables are adjusted dependently of each other. In the further portion, the system variables remain in a predetermined constant ratio relative to each other, the predetermined constant ratio being characteristic of a known mechanism changing the performance of the system.
    • 提供了一种从具有多个关联系统变量的系统分析与相应的预期参数值相关的测量参数值的方法。 该方法包括优化将所述测量的参数值与系统变量相关联的误差函数的步骤。 优化误差函数的步骤包括调整系统变量以改变预期参数值,从而改变由误差函数表示的误差量。 系统变量的一部分彼此独立地进行调整。 系统变量的另一部分相互依次进行调整。 在另一部分中,系统变量保持相对于彼此的预定的恒定比例,预定常数比是改变系统性能的已知机构的特征。
    • 8. 发明申请
    • Gas turbine engine variable area exhaust nozzle
    • 燃气轮机发动机可变区排气喷嘴
    • US20100107600A1
    • 2010-05-06
    • US12585077
    • 2009-09-02
    • Malcolm L. HillelStephen G. Brown
    • Malcolm L. HillelStephen G. Brown
    • F02K1/18F02K1/00
    • F01D17/08F01D17/14F01D17/141F02C9/18F02K1/1207F02K3/04F02K3/06F02K3/075Y02T50/671
    • A turbofan gas turbine engine (10) comprises a variable area exhaust nozzle (12) arranged at the downstream end of a casing (17). A control unit (66) analyses the power produced by the gas turbine engine (10), the flight speed of the gas turbine engine (1) and/or the altitude of the gas turbine engine (10). The control unit (66) configures the variable area nozzle (12) at a first cross-sectional area (70A) when the flight speed of the gas turbine engine (10) is less than a first predetermined value. The control unit (66) configures the variable area nozzle (12) at a second, smaller, cross-sectional area (70B) when the flight speed of the gas turbine engine (10) is greater than the first predetermined value and the power produced by the gas turbine engine (10) is greater than a second predetermined value. The control unit (66) configures the variable area nozzle (12) at a third, intermediate, cross-sectional area (70C) when the flight speed of the gas turbine engine (10) is greater than the first predetermined value and the power produced by the gas turbine engine (10) is less than the second predetermined value.
    • 涡轮风扇燃气涡轮发动机(10)包括设置在壳体(17)的下游端的可变区域排气喷嘴(12)。 控制单元(66)分析由燃气涡轮发动机(10)产生的功率,燃气涡轮发动机(1)的飞行速度和/或燃气涡轮发动机(10)的高度。 当燃气涡轮发动机(10)的飞行速度小于第一预定值时,控制单元(66)将可变区域喷嘴(12)配置在第一横截面积(70A)处。 当燃气涡轮发动机(10)的飞行速度大于第一预定值并且产生的功率时,控制单元(66)将可变区域喷嘴(12)配置在第二较小横截面积(70B) 由燃气涡轮发动机(10)大于第二预定值。 当燃气涡轮发动机(10)的飞行速度大于第一预定值并且产生的功率时,控制单元(66)将可变区域喷嘴(12)配置在第三中间横截面区域(70C) 由燃气涡轮发动机(10)小于第二预定值。
    • 9. 发明申请
    • Analysis Method
    • 分析方法
    • US20090271149A1
    • 2009-10-29
    • US11887618
    • 2006-04-13
    • Stephen G. Brown
    • Stephen G. Brown
    • G06F15/00G06F11/00
    • G05B23/0254
    • A method of analysing measured data, in relation to expected data, from a system which has a plurality of associated system variables, is provided, the method including the steps of: a) optimising an error function which relates said measured data to a predetermined number of the system variables adjusting the system variables; b) selecting a subset of the adjusted variables; and c) re-optimising the error function by adjusting only the variables in said subset. A method of identifying likely contributors to an error cause in measured data from a system which has a plurality of associated system variables, is also provided which uses the above method. A further method of analysing measured engine service or test data, in relation to expected data, from an engine has a plurality of associated system variables, is provided which includes the step of optimising an error function which relates said measured data to a predetermined number of the system variables by adjusting the system variables, wherein the error function is a sum of absolute variations and the step of optimising includes a least-absolutes optimisation.
    • 提供了一种从具有多个相关联的系统变量的系统中分析与预期数据相关的测量数据的方法,所述方法包括以下步骤:a)优化将所述测量数据与预定数量相关联的误差函数 的系统变量调整系统变量; b)选择调整变量的子集; 以及c)通过仅调整所述子集中的变量来重新优化误差函数。 还提供了一种使用上述方法来识别来自具有多个关联系统变量的系统的测量数据中的误差的可能贡献者的方法。 从发动机分析测量的发动机服务或测试数据相对于预期数据的另一种方法提供了多个相关联的系统变量,其包括优化误差函数的步骤,该误差函数将所述测量数据与预定数量的 系统变量通过调整系统变量,其中误差函数是绝对变量之和,优化步骤包括最小绝对优化。