Sealed　electronic　equipment　has　been　widely　used　in　aerospace,　defense　electronics　and　other　fields.　Due　to　the　limitation　of　production　technology,　it　is　easy　to　produce　or　retain　surplus　particles　in　the　process　of　processing　and　manufacturing.　Superfluous　matter　is　one　of　the　main　factors　affecting　the　reliability　of　sealed　electronic　equipment,　and　particle　impact　noise　detection　(PIND)　is　an　effective　method　to　detect　the　integrity　and　reliability　of　sealed　electronic　components.　In　this　paper,　a　kind　of　high　sensitivity　PIND　multi-channel　sensor　is　developed　for　the　detection　of　sealed　electronic　components,　which　is　much　higher　than　the　signal-to-noise　ratio　of　single　channel　sensor.　Through　multi-channel　data　fusion,　the　characteristic　parameters　sensitive　to　the　signal　characteristic　information　of　the　superfluous　matter　are　extracted　to　realize　the　discrimination　of　whether　there　is　more　than　0.1mg　of　superfluous　matter.　The　accuracy　of　the　discrimination　of　whether　there　is　more　than　0.1mg　of　superfluous　matter　is　95%.　©　2019　IEEE.