Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4402655 | Procedia Environmental Sciences | 2012 | 10 Pages |
Abstract
The destroying tasks of high-risk hazardous chemical waste have a strict request to the health status of destruction equipment.The paper proposes the health status classification method based on time between failures for the destruction of equipment, set up health status assessment model based on Time-varying Bayesian Networks and the time slice, which can take advantage of history fault information and health status monitoring indicator information to health status assessment for the destruction equipment, and which provides a reliable and safe evaluation method.
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