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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yufei Lin Maoyin Chen Donghua Zhou |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Autom., Tsinghua Univ., Beijing, China (Yufei Lin; Maoyin Chen; Donghua Zhou) |
| Abstract | Operating safety has become more and more important in today's engineering systems, since the systems become more and more complex. And it is crucial to develop strategies for online operating safety assessment. Although there have been some studies and researches on operating safety assessment, online assessment has not yet been paid sufficient attention, especially for multi-mode engineering systems. This paper proposes a probabilistic framework of online operating safety assessment for multi-mode engineering systems. First, a Gaussian mixture model (GMM) is used to characterize multiple operating modes. Then, based on a kind of definition of safety index (SI), the SI for one single mode is calculated. A Bayesian method is then presented to calculate the posterior probabilities belonging to each operating mode with consideration of sample dependency. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 4821 |
| Ending Page | 4825 |
| File Size | 266933 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467355339 |
| e-ISBN | 9781467355346 |
| DOI | 10.1109/CCDC.2013.6561807 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multi-mode engineering systems Bayesian method Safety assessment Probabilistic logic Silicon Safety Bayes methods Indexes Gaussian mixture model |
| Content Type | Text |
| Resource Type | Article |
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