Method and system for diagnosing online part faults of turbofan engines

Abstract

The invention discloses a method and system for diagnosing online part faults of turbofan engines. The method comprises the following steps of: establishing a diagnosis model by adoption of a Broydeniteration method; establishing an LM optimizer; solving a health parameter; determining a mutational fault mode; estimating thrust and a margin; and storing above diagnosis results and outputting a diagnosis report. According to the method and system, the diagnosis problem when fault sample data is lack and process noise is non-Gaussian noise during existing turbofan engine online fault diagnosisprocess is solved; unmeasurable flow and efficiency can be estimated; thrust, fan margin and gas compressor margin performance parameters can be monitored, so that diagnosis basis is provided for subsequent possible fault-tolerant control measures; and the calculation amount is relatively small and the turbofan engine onboard real-time requirements can be satisfied.

Description

technical field [0001] The invention relates to the field of fault diagnosis of aero-engine components, in particular to a method and system for on-line fault diagnosis of turbofan engine components. Background technique [0002] The operating environment of aircraft engines is extremely harsh, including extreme high temperature, strong vibration, wide load range and so on. During the working life of a turbofan engine, the performance of the turbofan engine will gradually deteriorate due to compressor fouling, increased tip clearance, and inevitable wear and corrosion. Not only that, foreign object damage can also lead to a sharp decline in engine performance. In order to ensure the reliability of the aero-engine must be guaranteed within its flight life, engine performance monitoring and fault diagnosis methods are widely used to improve the reliability and safety of the engine. In order to reduce maintenance costs, the performance monitoring system integrates the mainten...

AI Technical Summary

Problems solved by technology

[0006] The invention provides a turbofan engine online component fault diagnosis method and system, which can be used to solve the problem of turbofan engine online component fault diagnosis that lacks fault samples and only has an engine model, and contains non-Gaussian process noise. The method and system meet the airborne Real-time requirements, able to deal with turbofan starting gradual change and mutation faults

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