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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bregon, A. Alonso-Gonzalez, C.J. Pulido, B. |
| Copyright Year | 2013 |
| Abstract | The development of efficient and reliable fault detection approaches is necessary to improve performance, safety, and reliability in engineering systems. Moreover, these approaches have to be simple enough to provide quick diagnosis results and to reduce development and maintenance costs. Consistency-based diagnosis using possible conflicts (PCs) relies upon the simulation of numerical models to provide a simple and efficient fault diagnosis approach. However, simulation approaches need to know the initial state, and this assumption is not easily fulfilled in real systems, even in the presence of measurements related to state variables due to noise and parameter uncertainties. In this paper, we develop an approach where PCs are used to automatically compute structural models which can be implemented as simulation and state observer models. Using these models, we propose a framework which integrates those state observers to estimate the initial states for simulation within the consistency-based diagnosis framework. Then, both the simulation models and the state observers are used to provide quick detection decisions without increasing the complexity of the diagnoser. Our integration proposal is open to different kinds of state observers, except for the structural model, and different fault detection configurations. The proposal has been tested on a thermohydraulic reconfigurable laboratory plant using real data with satisfactory results. |
| Starting Page | 1553 |
| Ending Page | 1568 |
| Page Count | 16 |
| File Size | 2198391 |
| File Format | |
| ISSN | 21682216 |
| Volume Number | 44 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mathematical model Observers Computational modeling Fault diagnosis Fault detection Nonlinear dynamical systems Continuous time systems system decomposition fault diagnosis possible conflicts state observers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Information Systems Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications Software |
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