This invention discloses a fault diagnosis method for crane
maintenance management, relating to the field of
crane equipment operation and maintenance technology. It includes collecting a multi-source sensor data sequence consisting of vibration spectrum of the hoisting mechanism,
wire rope tension fluctuations, and temperature changes at hinge points within the crane's
operating cycle. The multi-source sensor data sequence is time-synchronized and
outlier-removed to generate a standardized synchronization
data matrix. The synchronization
data matrix is then fed into a hierarchical fault
feature extraction process, outputting degradation feature vectors for key components and anomaly pattern identifiers. The remaining effective
working range length of the components is calculated using the degradation feature vectors, and the fault
initiation time point is located using the anomaly pattern identifier. These two types of information are merged and encoded to generate a maintenance trigger
signal, which is then pushed to the crane control terminal display interface. This method achieves standardized organization and hierarchical
feature mining of multi-source operating data, quantifies the service status of components, and identifies the fault
initiation time, providing a standardized status basis for crane
maintenance management.