Parallel sensing of metallic wear debris in lubricants using undersampling data processing

摘要: Abstract Online lubricant monitoring requires a debris sensor that can rapidly detect wear in large volume of lubricants. To meet this need, we present fluidic oil using parallel multiple sensing channels for detecting metallic debris. Each element is comprised two-layer planar coil and meso-scale pipe crossing its center. The detection based on inductive Coulter counting principle. use allows the to process amount lubricants without sacrificing sensitivity. An undersampling was performed voltage signal across each enable rapid measurement inductance changes caused by presence all channels. testing results iron copper particles ranging size from 75 150 μm have demonstrated device capable processing 21 ml per minute while ferrous nonferrous at high throughput. crosstalk among seven analyzed found be negligible. A much higher throughput reached number fulfill needs online lubrication oils.