A new method of analog fault diagnosis technology based on clonal selection and clustering is proposed.It can not only combine global optimizing ability of clonal selection algorithm（CSA）and local optimizing ability fuzzy C—means（FCM）

but also utilize the target function of the FCM to construct the affinity function of the CSA.It can minimize the diagnosis uncertainty which is caused by overlapped samples and is advantage of fault location.Simulation results and analizing verify the proposed method curtails fault sorting convergence time and improves the fault diagnosis precision.