Fault Diagnosis of an Electrical Winch based on Structural Analysis

Abstract

This report covers development and implementation of a model-based fault-detection and fault diagnosis algorithm based on structural analysis, providing deeper knowledge of predictive maintenance, which o ers the industry increased uptime and reduced spending. Failure mode and e ect analysis are carried out at component level for an electrical winch. Construction of a Simulink model, used to verify the algorithms, are described in detail including governing equations and implementation. The basis of a structural analysis is outlined and tested on the electrical winch system. Results from the simulation model covers faults in permanent magnet motor, bearings, gearbox and sensors. The structural analysis is able to detect and isolate several types of typical faults that can occur in electrical winch systems.