Analysis and Prediction of Electric Motor Faults, for Ships using the Taguchi Approach

Abstract

This paper focuses on identifying the key parameters that affect the frequency of electric motor faults on ships. First, a comprehensive field study was conducted to analyze the electric motor faults observed on various ships. Key factors examined included the age of the ships, carrying capacity, fault type and the year of fault occurrence. The effects of these factors on the frequency of electric motor faults were evaluated using the L18(43) orthogonal array in conjunction with the Taguchi design of experiments approach. The findings revealed that the most significant factors influencing fault frequency are the type of fault and the age of the ship. This study also demonstrated that the Taguchi approach provides an effective and practical method for the analysis of large data sets. This approach has shown that the electrical fault frequencies of ships with different characteristics can be reliably predicted with this approach.