The invention discloses a fault diagnosis and online monitoring method for a draught fan master
control system based on data driving, and belongs to the technical filed of fault diagnosis. The method comprises the steps of calculating
control limits of normal data of the draught fan master
control system; calculating statistical magnitude of fault data of the draught fan master
control system; determining
fault occurrence time T according to the relation between the statistical magnitude and the
control limits and determining the variety contribution rate and the fault variety of each master control
system in the collected fault data when determining the time T; calculating the
signal to
noise ratio, the number of principal elements and the statistical magnitude which correspond to the fault variety in real-
time data of the draught fan master control
system sequentially, wherein if the statistic magnitude is within the
control limits, the draught fan master control
system is normal in operating process, otherwise, a sensor which corresponds to the fault variety is adopted in a fault sensor. According to the fault diagnosis and online monitoring method for the draught fan master control system based on the data driving, the use of complicated modeling by mechanism and
signal analysis of the draught fan is avoided; multiple faults in the same
time frame can be monitored, and the fault capable of being found is multidimensional; the biggest
signal to
noise ratio is adopted to determine the number of the principal elements, and thus the monitoring sensitivity of the faults is improved.