1.Liaoning Technical University,Fuxin ,China；2.Yanzhou Coal Mining Company Limited,Zoucheng ,China;3.Shandong University of Science and Technology,Qingdao ,China

In order to realize the intelligent monitoring of wear state in the cutting processes,the device of acoustic emission collected signal when the picks cut different proportions rock.The signals were decomposed and reconstructed via three-layer wavelet package.The pick wear was intelligent identified via D-S evidence theory.The result shows that the energy were concentrated in the bands 12.5～25.0 kHz and 37.5～50.0 kHz,and it decreased with the increase of pick wear state.Therefore,the energy ratio of two bands in total energy were selected as characteristic value to build the sample space.Under the combination rule of the four conditions,the intelligent identification accuracy is about 90%.This method provide a theoretical basis for grasping the picks wear state accurately,changing picks timely,improving the efficiency of mining machines and realizing intelligent mining.

国家自然科学基金资助项目（U1810119， 51774161，51804151，51504121）；辽宁省高等学校创新人才支持计划资助项目（L82017020）;辽宁“百千万人才工程”培养经费资助项目（2018863201）