课题组关于运行可靠性文章被IEEE Transaction on Reliability接受
- 发布时间:
- 2014-04-17
- 文章标题:
- 课题组关于运行可靠性文章被IEEE Transaction on Reliability接受
- 内容:
近日,可靠性课题组博士生孙闯的研究论文A Non-probabilistic Metric Derived from Condition Information for Operational Reliability Assessment of Aero-engine被可靠性工程领域的顶级期刊IEEE Transaction on Reliability接受。该论文利用运行状态信息,提出了评估航空发动机运行可靠性的非概率测度方法,为缺乏大样本数据条件下设备可靠性评估问题提供了一种有效的方法,具有重要的学术意义和应用价值。
何正嘉教授为该论文倾注了大量心血,若何老师泉下有知,必将深感欣慰。
附:文章摘要
Abstract—Aero-engine is the heart of an airplane. Operational reliability assessment that aims to identify reliability level of the aero-engine in the service phase is of great significance for improving flight safety. Traditionally, reliability assessment is carried out by statistics analysis on large failure samples. Since operational reliability of a specific aero-engine is an individual problem lacking statistical sample data, traditional reliability assessment methods may be difficult to assess the operational reliability of individual aero-engine.Operational states of the aero-engine can be identified by its condition information. Changes in the condition information reflect the performance degradation of the aero-engine. Aiming at assessment of operational reliability of individual aero-engine, a novel similarity index (SI) is proposed by analyzing the condition information from normal state and current state. Condition subspace is firstly obtained by kernel principal component analysis (KPCA). Subspace similarity is then represented by subspace angles, i.e., kernel principal angles (KPAs). The cosine function is finally utilized as a mapping function to transform the subspace angles into a similarity index. The index can be used as a non-probabilistic metric for operational reliability assessment. Only the condition information is needed for computation of the similarity index, thus it can be performed conveniently for online assessment. The effectiveness of the proposed method is validated by three case studies regarding health assessment of aero-engine subjected to system-level and component-level degradation. The positive results demonstrate that the proposed SI is an effective metric for operational reliability assessment of individual aero-engines.
Index Terms—Operational reliability assessment, similarity index, non-probabilistic metric, condition information, individual aero-engine.
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