Name
Abstract | ||
|---|---|---|
Efficient algorithms exist for fault detection and isolation of physical systems based on functional redundancy. In a qualitative approach, this redundancy can be captured by a temporal causal graph (TCG), a directed graph that may include temporal information. However, in a detailed continuous model, time constants may be present that are beyond the bandwidth of the data acquisition system, which leads to incorrect fault isolation because of a difference in observed and modeled behavior. To solve this, the modeled time constants can be taken to be infinitely small, which results in a model with mixed continuous/discrete, hybrid behavior that is difficult to analyze because the causality of the directed graph may change. In this paper, to avoid the combinatorial explosion when using a bank of TCGs in parallel, causal paths are parametrized by the state of local switches. The result is a hybrid model that produces parametrized predictions that can be efficiently matched against observed behavior. |
Year | Venue | Keywords |
|---|---|---|
2001 | HSCC | incorrect fault isolation,functional redundancy,hybrid model,physical systems,time constant,temporal causal graph,hybrid behavior,parametrized causality,causal path,detailed continuous model,fault detection,observed behavior,data acquisition system,fault isolation,fault detection and isolation,directed graph |
Field | DocType | ISBN |
Continuous modelling,Computer science,Physical system,Fault detection and isolation,Directed graph,Algorithm,Redundancy (engineering),Combinatorial explosion,Hybrid system,Discrete system | Conference | 3-540-41866-0 |
Citations | PageRank | References |
5 | 0.60 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pieter J. Mosterman | 1 | 429 | 53.18 |