System and method for identifying fault resolution steps for equipment based on multi-modal diagnosis data

Abstract

The present disclosure discloses a method and a system for identifying fault resolution steps for an equipment. Method captures multi-modal diagnosis data associated with at least one primary part in the equipment. Method obtains multi-modal features of the at least one primary part from the multi-modal diagnosis data. Method detects a condition state of the at least one primary part using the multi-modal features and a trained object fault detection model. Method determines location of a fault on the at least one primary part using a trained fault location prediction model when the condition state is detected as a faulty state. Method identifies primary fault resolution steps for the at least one primary part based on historic data associated with the at least one primary part and the location of the fault. Method identifies secondary resolution steps for secondary parts based on the primary fault resolution steps before rendering.