| 摘要 |
PURPOSE:To monitor the starting of an object plant to be monitored and the state of stationary operation without any experiential preprocessing by a skilled person and to detect deviation in relation among parameters which is seen in the beginning of abnormality from that in normal operation without any experiential judgment by a skilled person. CONSTITUTION:A time-series signal showing the operation state of the plant 11 is measured by a signal measuring means 12 and converted by a signal input means 13 into a digital signal, which is inputted to a signal processing means 14. The signal processing means 14 inputs and processes the time-series data in constant sampling cycles. A normal pattern learning means 31 learns at each timing point by a self-organization type neural network and generates a time-series variation pattern of ignition neurons in a two-dimensional plane. A normalcy/abnormality deciding means 32 compares the time-series variation pattern of ignition neurons obtained from the data at the time of monitoring with the pattern of normal operation obtained by the normal pattern learning means 31 and displays the result at a display means 19. |
