Enhanced Prognosis of Hybrid Systems with Unknown Mode Changes | ||
| The Modares Journal of Electrical Engineering | ||
| Article 4, Volume 15, Issue 2, 2015, Pages 21-29 PDF (965.74 K) | ||
| Authors | ||
| Mojtaba Danes1; Amin Ramezani* 2; Amin Ramezani* 2; Javad Zahedi Moghaddam | ||
| 1دانشجوی کارشناسی ارشد، دانشگاه تربیت مدرس، دانشکده برق و کامپیوتر، تهران، ایران. | ||
| 2Electrical and Computer Engineering Department, Tarbiat Modares University, Tehran, Iran. | ||
| Abstract | ||
| In this paper, a new model for degradation has been introduced to cover multiple dynamics for prognostics purposes. Firstly, Augmented Global Analytical Redundancy Relations (AGARRs) have been introduced to track system’s health constantly. Whenever an inconsistency appears, the proposed algorithm checks the Mode Change Signature Matrix (MCSM) and decides if inconsistency is due to a change in modes or an existence of a faulty component. Using Mode Dependent Fault Signature Matrix (MD-FSM), a Set of Candidate Faults will be generated and fed into PF part to estimate the actual fault and parameters of the degradation model. Finally, by applying obtained degradation model, Remaining Useful Lifetime (RUL) will be estimated. | ||
| Keywords | ||
| Hybrid Bond Graph; Prognosis; Particle filter; Remaining Useful Life Tim | ||
|
Statistics Article View: 105 PDF Download: 60 |
||
| Number of Journals | 45 |
| Number of Issues | 2,171 |
| Number of Articles | 24,674 |
| Article View | 24,436,206 |
| PDF Download | 17,551,340 |