Establishing an aircraft landing simulation model under fault states and conducting pre-landing fault simulation tests are crucial for pilot safety and mission success. However, the complexity of the landing process and the variety of potential faults pose challenges to current fault injection methods, which lack efficiency and scalability. In this paper, we propose to normalize the aircraft landing fault modes a reduced set of uniform modes with predefined parameter settings. A total of 22 typical fault modes for 6 critical position components during aircraft landing are considered, and they are normalized into 8 basic fault types by focusing on the similar mathematical representation forms of different fault injection effects. By normalizing fault modes in this manner, it enhances the efficiency of fault injection and facilitate flexible expansion of fault injection capabilities. Experimental results validate the effectiveness of our proposed method in both fault injection efficiency and scalability.