Based on the theory of strong tracking filters, an online fault diagnosis method for transformers is given by combining state estimation and parameter identification.
基于强跟踪滤波理论，本文给出了一种变压器绕组故障实时检测与诊断的理论方法。
Based on wear parameter and experience data, the imitated wear particle and surface images of components were given. These are very useful for the fault diagnosis and wear particle analysis.
通过给定的磨损参数，并结合经验数据，给出可能产生的磨粒和磨损表面形貌图谱，为后面的故障诊断和磨粒分析奠定了基础。
A Primary Factor Model (PFM) for jet engine fault diagnosis is presented, which is a kind of parameter diagnosis method based on the engine fault equation.
提出了发动机故障论断的主因子模型。这是一种基于故障方程的参数诊断方法。
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