| 102D5 |
|---|
| Fault Diagnosis by Using a Quick Identification Method ¡ÁApplication to Adrupt Change in State Variables¡Á |
| AUTHORS |
| K.Haji, K.Kumamaru, H.Kamata, K.Inoue (Kyushu Institute of Technology) |
| ABSTRACT |
| When developing a fault diagnosis method, it is important issue to guarantee its applicability to for various fault modes. Here, generally it is known well that most of fault modes in dynamic systems can be modeled as unexpected changes in physical parameters specifying the system dynamics and the measurement structures. The paper is dealing with identification-based fault diagnosis for nonlinear continuous-time dynamic systems. As a suitable way for monitoring physical parameters which specify fault modes in the system, a decentralized fault diagnosis scheme using a quick identification method has been proposed. In the past work, the effectiveness of the diagnosis method has been confirmed through simulation studies on a Ship Propulsion Plant Model, which was constructed as the object system used in the benchmark test of fault diagnosis. It is, however, expected that the method may have the applicability to other fault mode, e.g., abrupt change in plant state variables or fuel leak fault. In this paper applicability of the method to these fault modes is investigated through simulation studies. |
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Annual Conference 2002