基于改進(jìn)二進(jìn)制粒子群算法優(yōu)化DBN的軸承故障診斷
摘要: 針對滾動(dòng)軸承故障振動(dòng)信號非平穩(wěn)性的特點(diǎn),對二進(jìn)制粒子群優(yōu)化算法(binary particles swarm optimization, BPSO)和深度信念網(wǎng)絡(luò)(deep belief network, DBN)進(jìn)行研究,提出一種基于局部均值分解(local mean decomposition, LMD)和IBPSO-DBN的軸承故障診斷方法。提出用加權(quán)慣性權(quán)重改進(jìn)BPSO... (共6頁)
開通會(huì)員,享受整站包年服務(wù)