Title :
The study of the method about detection on throttle failure using the bispectrum
Author :
Cong, YuLiang ; Wang, Shuxun ; Zhao, Jiyin ; Bin, He
Author_Institution :
Inf. Coll., Jilin Univ. of Technol., Changchun, China
Abstract :
The detection of non-Gaussian signal in additive Gaussian noise using bispectrum is a matter of practical interest in many areas, such as throttle failure detection and so on. An ARMA model of a nonload gasoline engine which works on little throttle valve opening is given. The detection approach of engine speed sensor and throttle sensor failure based on the model is elaborated which is employed by the electric control system in the period of shifting. When there is no failure, the residual between the series of ARMA model of throttle (nonload engine) and the measuring data series of engine speeding and throttle should be Gaussian, the mean of it is zero, otherwise it should be non-Gaussian. Then we can use the bispectrum to detect the failure of the engine speed sensor and throttle sensor
Keywords :
Gaussian noise; automotive electronics; autoregressive moving average processes; electric sensing devices; failure analysis; internal combustion engines; signal detection; spectral analysis; ARMA model; additive Gaussian noise; bispectrum; electric control system; engine speed sensor; engine speeding; measuring data series; non-Gaussian signal detection; nonload gasoline engine; throttle failure detection; throttle sensor failure; throttle valve opening; Array signal processing; Control system synthesis; Educational institutions; Engines; Petroleum; Sensor systems; System identification; Valves; Velocity measurement; White noise;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830673