SAE AIR 5871-2008
燃气涡轮发动机用预兆

Prognostics for Gas Turbine Engines

SAE AIR 5871-2008 发布历史

1.1 PurposeThis document applies to prognostics of gas turbine engines and its related auxiliary and subsystems. Its purpose is to define the meaning of prognostics with regard to gas turbine engines and related subsystems, explain its potential and limitations, and to provide guidelines for potential approaches for use in existing condition monitoring environments. It also includes some examples.1.2 Field of ApplicationThis document seeks to meet the increasing interest in gas turbine engine prognostics. Specifically, the document tries to provide a timely guideline for applying prognostic technologies to enhance the capability of current monitoring and diagnostic systems. Some examples are provided that are intended to illustrate different approaches and methodologies.

SAE AIR 5871-2008由美国机动车工程师协会 US-SAE 发布于 2008-06-01。

SAE AIR 5871-2008 在中国标准分类中归属于: V30 发动机总体，在国际标准分类中归属于: 49.050 航空航天发动机和推进系统。

SAE AIR 5871-2008的历代版本如下：

• 2008年06月01日 SAE AIR 5871-2008 燃气涡轮发动机用预兆

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标准号

SAE AIR 5871-2008

发布日期

2008年06月01日

实施日期

废止日期

无

中国标准分类号

V30

国际标准分类号

49.050

发布单位

US-SAE

引用标准

Bannantine, J., et al., Fundamentals of Metals Fatigue Analysis, Prentice Hall, 1980 Boyce, Meherwan, Gas Turbine Engineering Handbook, Gulf Publishing Company, 1995. Bowerman, Bruce L. and O’Connel, Richard T., Forecasting and Time Series, Duxbury Press,

适用范围

1.1 PurposeThis document applies to prognostics of gas turbine engines and its related auxiliary and subsystems. Its purpose is to define the meaning of prognostics with regard to gas turbine engines and related subsystems, explain its potential and limitations, and to provide guidelines for potential approaches for use in existing condition monitoring environments. It also includes some examples.1.2 Field of ApplicationThis document seeks to meet the increasing interest in gas turbine engine prognostics. Specifically, the document tries to provide a timely guideline for applying prognostic technologies to enhance the capability of current monitoring and diagnostic systems. Some examples are provided that are intended to illustrate different approaches and methodologies.

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