Patent ID: 8930120
Filing Date: 2015-01-06
Classification: G01H,G01M

Abstract:
1. A system for detection and diagnosis of fault of an airplane engine, the system comprising: one or more vibration sensors attached to the airplane; a reference model database construction device which generates virtual input data using nonfaulty vibration data from the vibration sensors and rotor speed of the airplane engine and extracts output data, estimates nonfaulty model parameters based on the input/output data set, obtains a covariance using another input/output data set different from the input/output data set, and constructs a reference model database, wherein the reference model database construction device comprises: a fault detection and diagnosis method which estimates suspicious model parameters using suspicious data from the vibration sensors, obtains test variables and a difference of numerator coefficients of transfer functions using the estimated parameters, the reference nonfaulty model parameters and the covariance of the parameter estimation errors, and determines presence/absence of fault of the airplane engine and the cause of the fault based on the test variables and the difference of the numerator coefficients wherein the fault detection and diagnosis method comprises: a generation and extraction module which generates virtual input data using suspicious vibration data received from one or more vibration sensors attached to an airplane and rotor speed of an engine of the airplane and extracts output data; a parameter estimation module which estimates suspicious model parameters by applying least squares method to a predetermined section using the input/output data set; a calculation module which obtains test variables and a difference of numerator coefficients by using the input/output data set, previously stored reference nonfaulty model parameters, and a covariance of parameter estimation errors; and a fault detection and diagnosis module which detects a presence/absence of a fault of the airplane engine based on the obtained test variables and the difference of numerator coefficients, and diagnoses a cause of the fault.