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公开(公告)号:US11203446B2
公开(公告)日:2021-12-21
申请号:US16604042
申请日:2018-12-11
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor: Yanhua Ma , Xian Du , Rui Wang , Min Liu , Ximing Sun
IPC: B64F5/60
Abstract: The present invention discloses a method for fault diagnosis of the sensors and actuators of an aero-engine based on LFT, and belongs to the field of fault diagnosis of aero-engines. The method comprises: establishing an aero-engine state space model using a combination of a small perturbation method and a linear fitting method; establishing an affine parameter-dependent linear-parameter-varying (LPV) model of the aero-engine based on the model; converting the LPV model of the aero-engine having perturbation signals and sensor and actuator fault signals into a linear fractional transformation (LFT) structure to obtain an synthesis framework of an LPV fault estimator; solving a set of linear matrix inequalities (LMIs) to obtain the solution conditions of the fault estimator; and designing the fault estimator in combination with the LFT structure to realize fault diagnosis of the sensors and actuators of an aero-engine.
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2.
公开(公告)号:US11124317B2
公开(公告)日:2021-09-21
申请号:US16629513
申请日:2018-01-26
Applicant: DALIAN UNIVERSITY OF TECHNOLOGY
Inventor: Shuo Zhang , Jibang Li , Ximing Sun , Min Liu
Abstract: A method for prediction of key performance parameters of an aero-engine in transition condition. Bench test data for an aero-engine in transition condition provided by a research institute is used for establishing a training dataset and a testing dataset first; parameter combination is used for predicting and analyzing engine exhaust temperature based on the idea of information fusion; and the method of rolling windows is used for rolling learning in order to predict the parameters such as low pressure rotor speed and exhaust temperature of an engine from the perspective of practical engineering application.
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