Automated Monitoring Method for Faults in Ship Power Machinery Equipment Based on Multi-sensor Information Fusion
The equipment and attitude of ship power machinery are studied.The key technology and method of multi-sensor information fusion and classification algorithm are adopted to fuse and classify the collected information and realize the detection and recognition of fault signals.The position,velocity and acceleration of the ship in motion are described with the coordinate system of the ship as the reference point.The characteristic frequencies of motor nor-mal state,motor fault and gearbox fault are 180 Hz,610 Hz and 505 Hz respectively.Compared with the single sensor measurement data,the fault recognition rate can be significantly improved after data fusion,and the average recogni-tion rate is 95.6％.
万方数据
维普
