ONLINE EARLY FAULT DETECTION AND DIAGNOSTIC METHOD FOR PLANT OPERATION

摘要

The present invention is a diagnostic method for early diagnosis of poor performance or failure factors of each device in the plant operating area according to the present invention, generating a virtual operation model based on the existing normal operation data, current operation data Generating a predicted driving signal based on the virtual driving model, comparing the predicted driving signal with the current driving data, detecting an abnormal signal, and determining a correlation between the detected abnormal signal and a performance degradation / failure cause. Diagnosis and analysis in real time through the diagnostic / analysis algorithm model and characterized in that it comprises the step of outputting the diagnostic / analysis results. The present invention configured as described above detects an abnormal signal by comparing with the current operation data through the predicted operation signal, and compares it with a previously produced algorithm model for each performance degradation / failure type to diagnose the performance degradation or failure factors early. There is an advantage to that.