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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Calder, M. Sevegnani, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK (Calder, M.; Sevegnani, M.) |
| Abstract | We investigate how predictive event-based modelling can inform operational decision making in complex systems with component failures. By relating the status of components to service availability, and using stochastic temporal logic reasoning, we quantify the risk of service failure now, and in the future, after a given elapsed time. Decisions can then be taken according to those risks. We demonstrate the approach through application to an industrial case study system in which component failures are sensed and monitored. The system has been deployed for some time. A novel aspect is we calibrate the model(s) according to inferences over historical field data, thus the results of our reasoning can inform decision making in the actual deployed system. |
| Starting Page | 70 |
| Ending Page | 81 |
| File Size | 730732 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781479938049 |
| DOI | 10.1109/EDCC.2014.15 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-13 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models predictive modelling Transmitters Redundancy Green products safety-critical Maintenance engineering Predictive models temporal logic ctmc communications service Monitoring |
| Content Type | Text |
| Resource Type | Article |
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