S-102.2.11-2009

Performance-Based Anomaly Detection and Response Analysis


 

 

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标准号
S-102.2.11-2009
发布日期
2009年01月01日
实施日期
2009年03月10日
废止日期
中国标准分类号
/
国际标准分类号
/
发布单位
AIAA - American Institute of Aeronautics and Astronautics
引用标准
30
适用范围
This standard establishes uniform requirements and criteria for a performance-based anomaly detection and response (ADR) analysis process. The performance-based aspect of this standard requires that the organization?s ADR analysis capability be rated according to predetermined criteria for process capability and data maturity. Purpose The primary purpose of the ADR analysis is to develop identification and response methods for system anomalies or faults that pose unacceptable risk. Depending on how it is performed@ an ADR analysis can be used to develop different types of ADR systems. For this standard@ an ADR system is defined as an established function for detecting@ verifying@ isolating@ and responding to a specified set of system functional failure modes. The minimum activities that constitute the baseline practice for ADR analysis are the following: ?? timely establishment of ADR system requirements and design criteria that meet the user?s needs; ?? timely establishment of ADR analysis technical performance metrics (TPM); ?? timely collection and evaluation of necessary engineering information [e.g.@ signal lists@ specs@ interface control drawing (ICD)@ test data@ operational data@ schematics@ and product failure mode@ effects@ and criticality analysis (FMECA)] to identify all functional failure modes that pose unacceptable risk; ?? timely creation of a functional failure analysis (FFA) dataset that defines the detection@ verification@ isolation@ and response methods@ as applicable@ for each identified functional failure mode; ?? timely validation of each FFA dataset; and ?? timely documentation of the ADR Analysis. The FFA is a systematic methodology for identifying and responding to functional failure modes that require such actions as defined by the FMECA or other failure analysis such as system test; failure reporting@ analysis@ and corrective action system (FRACAS); system safety; or risk management.




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