作者：
Feng, YunHunan Univ
Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China Hunan Univ
Natl Engn Lab Robot Visual Percept & Control Tech Changsha 410082 Hunan Peoples R China
Fault localisation for distributedparametersystems is as important as fault detection but is seldom discussed in the literature. The main reason is that an infinite number of sensors in the space are needed to const...
详细信息
Fault localisation for distributedparametersystems is as important as fault detection but is seldom discussed in the literature. The main reason is that an infinite number of sensors in the space are needed to construct a distributed residual signal, which is nearly impossible in practice. In this study, a fault detection and localisation filter which only uses a finite number of sensors is initiated based on an approximated ordinary differential equation model. Considering the limitations on computation resources for higher-order models in practice, a novel set of spatial basis functions is applied to the reduced-order fault detection and localisation filter design. Under certain conditions, the novel spatial basis functions obtain smaller state truncation error while the order is lower compared to the mostly used eigenfunctions of the spatial operator.
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