A complex detection method which combines plused eddy current(PEC) and ultrasonic testing(UT) based on the Dempster-Shafter(D-S) evidence theory is proposed to detect the defects in the planar conductive structures at different depth locations. It intends to overcome the testing limitation that PEC testing is poor in deep defects detection and UT performes bad in surface and near-surface defects respectively. To solve the conflict problem of different detection ranges of PEC and UT, the weighted distribution processing is studied and added to the D-S evidence theory. To consider the posibility of false positives in single sensor detection, the evidence, i.e. posibility of defect from single sensor, is improved by using the Bayesian inference method. The experiment is carried out on a planar conductive structure testing sample with different depths of the defects. By comparing with the single sensor testing and Bayesian estimation method, results show that the proposed technique using D-S evidence theory with the weighted distribution processing in the combined testing obtains better defect detection result and wider testing scale.