Crane equipment fault detection method

The invention relates to a crane equipment fault detection method which comprises the following steps: step 1, when a mechanical part X0 has a fault, a vibration sensor Y0 acquires a vibration signal of the mechanical part X0 and uploads the vibration signal to an upper computer; the upper computer extracts the average vibration frequency of the vibration signals and performs feature extraction on the vibration signals to form a feature value set G; defining a fault vibration frequency interval f'and a characteristic value interval G 'of the mechanical part X0; 2, during operation, a vibration sensor Y0 collects a vibration signal ep of the mechanical part X0 and uploads the vibration signal ep to an upper computer; 3, after the upper computer carries out filtering and noise reduction on the vibration signal ep, the vibration frequency fp is extracted; if the fp is judged to fall into the fault vibration frequency interval f ', entering a step 4; 4, extracting a characteristic value gp of the vibration signal