This invention discloses an online fault diagnosis method for
graphite heat exchangers, relating to the field of
data processing technology. The method includes: performing
data acquisition to establish a time-series monitoring dataset; dividing the time-series monitoring dataset into stages, creating a uniform sampling space; constructing a fitting dataset with constraints of minimum sample size and sampling space, and performing interior and exterior point discrimination; iteratively constructing the fitting dataset and obtaining a working fitting curve; establishing a calibration fitting curve, and establishing a basic deviation evaluation value based on the deviation evaluation between the calibration fitting curve and the working fitting curve; performing exterior point discrete analysis to establish additional deviation evaluation values; setting key coefficients for monitoring parameters in fault anomalies, calculating fault values, and performing fault early warning. This method solves the technical problem of difficulty in timely and accurate diagnosis of
graphite heat exchanger faults in existing technologies, achieving online fault diagnosis of
graphite heat exchangers and improving the accuracy and efficiency of fault diagnosis.