プラント機器の健全性診断技術の開発
概要
In order to optimize plant maintenance, it is important to diagnose an integrity of equipment and use it for maintenance planning. We developed the integrity diagnostic method combining statistical model and physical model. The statistical model detects abnormality from process data and estimates abnormal parameters. The physical model estimates failure equipment from abnormal parameters. As a result of test data evaluation, it was confirmed that the proposed method can detect anomalies and estimate faulure equipment.
