There　is　a　great　interest　in　studying　complexity　of　the　aero-engine　gas　path　time　series.　This　paper　presents　a　Lempel-Ziv　complexity　measure　for　analysis　of　aero-engine　gas　path　system　signals.　By　applying　a　binary　Lempel-Ziv　measure　to　define　the　absolute　distance　between　two　non-null　numerical　sequences,　the　pedigree　map　of　systemic　clustering　is　constructed　to　provide　a　metric　for　the　number　of　distinct　deterministic　patterns.　And　then,　we　propose　a　ternary　Lempel-Ziv　measure,　improving　on　the　binary　Lempel-Ziv　measure,　and　making　it　more　suited　for　the　analysis　of　aero-engine　gas　path　time　series.　The　results　indicate　that　the　maps,　demonstrating　the　relationship　between　parameters,　based　on　ternary　Lempel-Ziv　measure　are　more　vivid　than　the　map　based　on　binary　Lempel-Ziv　measure.　(C)　2019　Elsevier　B.V.　All　rights　reserved.