| 摘要 |
Degraded or other performance may be predicted with a machine-learnt classifier. Based on operation of many building automation systems, machine learning is applied. The machine learning creates a predictor. The machine- learnt predictor is applied to the operation data of any building automation system to predict future failure or other event, providing prognostics that may be used to plan maintenance and/or schedule remedial action. Machine learning uses big data in the form of data from many building automation systems to learn to automatically predict and/or perform prognostics for other building automations systems. |
