The present application relates to a kind of fault diagnosis method,
system, equipment and medium based on
rolling mill vibration
signal, and the synchronous
data stream of unified time stamp is generated by the fault diagnosis method through multi-source
signal synchronous acquisition and time base alignment, process parameters and vibration
signal monitoring isolated problem are solved;Dynamic trigger acquisition and hierarchical storage strategy is used, and according to equipment operating state, abstract feature
package and original waveform
package are generated, and full-time period
original data storage pressure is significantly reduced;Precise identification of fault events is achieved based on the joint determination mechanism of spectral peak and process parameter change rate, effectively suppressing false alarms in conditions such as roll change speed-up;Finally,
predictive maintenance decisions are made through typical fault
data migration and residual life prediction models. While ensuring the accuracy of fault identification, this method optimizes storage resources and improves operational efficiency.