Title :
Study of Microwave Dielectric Resonator Oscillator Frequency Degradation Model for Intelligent Maintenance Systems
Author :
Yao, Jinyong ; Su, Haibo ; Li, Xiaogang
Author_Institution :
Dept. of Reliability & Syst. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
This paper presents a modeling method to model and assess the Dielectric Resonator Oscillator (DRO) performance degradation to supply a basis for the fault diagnoses, health state estimates and life prediction of the DRO in the Intelligent Maintenance Systems (IMS). In our research, the model combines internal state transition model with the Brownian motion stochastic process to show the degradation mechanism and random factors respectively. The degradation models parameters were recognized by the degradation data coming from the Accelerated Degradation Test. The result indicates that the model significantly describes the DRO practical degradation process with an impressively small sum of squared residuals. We also resolved the curvilinear boundary crossing issue of Brownian motion with optimal linear approximation methods and presented an approximate life distribution.
Keywords :
Brownian motion; dielectric resonator oscillators; life testing; microwave oscillators; Brownian motion stochastic process; accelerated degradation test; approximate life distribution; curvilinear boundary crossing; fault diagnoses; health state estimates; intelligent maintenance systems; internal state transition model; life prediction; microwave dielectric resonator oscillator frequency degradation model; optimal linear approximation methods; Ceramics; Degradation; Dielectrics; Linear approximation; Predictive models; Stress; Temperature; Brownian motion; DRO; IMS; state transition degradation model;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.238