Performance Comparison of Blind Separation Algorithms for Aero-engine Vibration Signals

摘要：

When the machine is operating, the sensor signals are mixed by every vibration source, which cause great difficulties to machine health monitoring and fault diagnosis. Blind source separation (BSS) technique can separate the mixed signal without losing the characteristic information of source signals. To find the best algorithm for separating the practical vibration signals, five typical algorithms have been studied and compared. Five typical algorithms were used to separate the simulation signals of mechanical vibration, the performance of five algorithms under different environments were compared using different performance index for evaluating the separation results. BSS was used to separate the mixed rotors vibration signals, the result shows that JADE algorithm can separate the mixed vibration signals successfully.

关键词： blind source separation mechanical vibration signal rotor fault diagnosis

作者: Lei Yan-bin Li Shun-ming Hao Qing-qing

作者单位: College of Energy and Power Engineering NUAA Nanjing, China College of Energy and Power Engineerig NUAA Nanjing, China

会议类型: 国际会议

会议名称: The 3rd International Symposium on Jet Propulsion and Power Engineering(第三届喷气推进与动力工程国际会议 ISJPPE)

会议地点: 南京

会议语种:英文

页码: 535-539

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）