Flame Stability Recognizing Diagnosis of High Temperature Air Combustion Based on IAEPSO-IAWNN

In this paper, a new flame stability identifying method was suggested whereas the problem of flame stability recognizing of high temperature air combustion (HTAC). The primary idea of this proposed method is to diagnosing the flame stability by an improved self-adaptive wavelet neural network (AWNN), which is learned from an improved particle swarm optimization based on self-adaptive escape velocity (AEPSO). Calculating results are identical to the simulation results, which illuminate the feasibility of the proposed algorithm and provide a theatrical basis for the development of the high temperature air combustion technology.