An aircraft is a vehicle that is able to fly by gaining support from the air. It counters the force of gravity by using either static lift or by using the dynamic lift of an airfoil, or in a few cases the downward thrust from jet engines. The topological structure statistical properties of the system were analyzed with small world net theory, and a failure propagation model based on the small world clustering was proposed, and the failure propagation paths and relevant key nodes with high pervasion ability were found with the Dijkstra algorithm. The results verify that this method can effectively find the weak point in the system, and provide an important basis for design improvements and failure prevention. It compares a standalone impact analysis of the aspects and the hazards of the municipal solid waste. Considering the practical difficulties and issues on site of the waste disposal in the Cities, this paper does an matrix based analysis to arrive at the solution. Aircraft structures and engine components must be nondestructively inspected after manufacturing and throughout their operational life for the presence of defects and damage. Most inspections are currently performed using NDT methods such as ultrasonics, radiography and thermography. Structural health monitoring (SHM) is emerging as an alternative to conventional NDI, in which sensor systems are used with little or no human invention to monitor aircraft for damage. NDI methods have the capability to detect certain (but not all) types of damage in metals and composites. Ultrasonics, thermography and eddy current inspections are capable of detecting damage and cracks aligned parallel with the material surface whereas radiography is better suited to detecting cracks normal to the surface. It is often necessary to use two or more inspection methods to obtain a complete description of the type, amount and location of the damage.