Gear Fault Location Detection for Split Torque Gearbox Using AE Sensors
作者： Ruoyu Li , Serap Ulusam Seçkiner , David He , Eric Bechhoefer , Praneet Menon
DOI: 10.1109/TSMCC.2011.2182609
关键词: Fault detection and isolation 、 Automotive engineering 、 Acoustic emission 、 Torque 、 Computer science 、 Fault (power engineering) 、 Vibration
摘要: In comparison with a traditional planetary gearbox, the split torque gearbox (STG) potentially offers lower weight, increased reliability, and improved efficiency. These benefits have driven helicopter object exchange models (OEMs) to develop products using STG. However, unique structure of STG creates problem on how locate gear faults in an As today, only limited research fault detection vibration acoustic emission (AE) sensors has been conducted. this paper, effective location methodology AE for is presented. The uses wavelet transform process sensor signals at different locations determine arrival time bursts. By analyzing bursts, can be determined. parameters wavelets are optimized by ant colony optimization algorithm. Real seeded experimental tests notional both healthy damaged output driving gears collected simultaneously gear. Experimental results shown effectiveness presented methodology.
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