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The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis

Tongguang Yang, Guanchen Li, Shenyou Yuan, Yanxing Qi, Xiaoguang Yu, Qingkai Han

2023Applied Acoustics41 citationsDOI

Topics & Concepts

Pipeline (software)Feature extractionFeature (linguistics)Fault (geology)Computer scienceArtificial intelligenceHydraulic machineryWeightingNoise (video)EngineeringData miningReal-time computingPattern recognition (psychology)Image (mathematics)Programming languageLinguisticsSeismologyGeologyPhilosophyMedicineMechanical engineeringRadiologyMachine Fault Diagnosis TechniquesHydraulic and Pneumatic SystemsStructural Integrity and Reliability Analysis
The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis | Litcius