Fault diagnosis algorithm for storage and transportation equipment based on fault tree

This paper investigates a fault diagnosis scheme to detect whether a system is in normal or fault condition, and further diagnose the type and location of the fault. A complicated storage and transportation equipment system is proposed to experiment the presented fault diagnosis strategy. The fault tree technique is used to overcome the difficult to detect system states and huge consume for arranging large numbers of information collection points. In this paper, the established fault diagnosis algorithm which based on the fault tree can achieve diagnosing the equipment intelligently. Firstly, we build fault tree for every fault code based on the system structure and past working data. Once a fault is detected, the fault tree analysis will be performed to find out possible broken-down components automatically with the help of written MATLAB software. Under the guidance of provided reasonable diagnostic sequence, the users can maintain the equipment effectively without the help of professionals.