This paper introduces a Self-Repair Transformer model using the attention mechanism for automobiles and industrial machines. By taking normal and current/abnormal statuses as inputs, it performs multi-dimensional calculations to understand issues. The architecture features a 'Healer' module designed to autonomously resolve the problem internally, or alternatively, provide users with simple repair instructions and critical alerts in the event of a malfunction.