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RISGas Path Fault Diagnosis of Turboshaft Engine Based on Novel Transfer Learning Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Data-driven fault diagnosis method is widely used in the field of engine health management, which uses engine sensor data as input and engine faulty components as output for component-level fault diagnosis of the engine. ...
Imbalanced Kernel Extreme Learning Machines for Fault Detection of Aircraft Engine
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To deal with class imbalance learning (CIL) problems, a novel algorithm is proposed based on kernel extreme learning machine (KELM), named KELM-CIL. To solve it, two algorithms are developed from the dual and primal spaces, ...