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...
Saved in:
Main Authors | , , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
15.04.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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 |
---|---|
Bibliography: | Application Number: CN202111569683 |