Multiple Model Moving Horizon Estimation Approach to Prognostics in Coupled Systems

被引：0

作者：

Pattipati, Bharath ^{[1
]}

Sankavaram, Chaitanya ^{[1
]}

Pattipati, Krishna ^{[1
]}

Zhang, Yilu ^{[2
]}

Howell, Mark ^{[2
]}

Salman, Mutasim ^{[2
]}

机构：

[1] Univ Connecticut, Dept Elect & Comp Engn, 371 Fairfield Rd,U-2157, Storrs, CT 06269 USA

[2] GM Global R&D, Gen Motor Co, Warren, MI 48090 USA

来源：

IEEE AUTOTESTCON 2011: SYSTEMS READINESS TECHNOLOGY CONFERENCE | 2011年

基金：

美国国家科学基金会;

关键词：

multiple model moving horizon estimation (MM-MHE); model predictive control (MPC); electronic throttle control (ETC) system; survival function estimation; proportional hazard model (PHM); nonlinear programming;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The key objectives of this paper are to analyze and implement a novel moving horizon model predictive estimation scheme based on constrained nonlinear optimization techniques for inferring the survival functions and residual useful life (RUL) of components in coupled systems. The approach employs a data-driven prognostics framework that combines failure time data, static and dynamic (time-series) parametric data, and the Multiple Model Moving Horizon Estimation (MM-MHE) algorithm for predicting the survival functions of components based on their usage profiles. Validation of the approach has been provided based on data from an electronic throttle control (ETC) system. The proposed prognostic approach is modular and has the potential to be applicable to a wide variety of systems, ranging from automobiles to aerospace.

引用

页码：149 / 157

页数：9

共 50 条

[1] Multiple Model Moving Horizon Estimation Approach to Prognostics in Coupled Systems
Pattipati, Bharath
Sankavaram, Chaitanya
Pattipati, Krishna
Zhang, Yilu
Howell, Mark
Salman, Mutasim
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2013, 28 (03) : 4 - 12
[2] Moving horizon estimation for networked systems with multiple packet dropouts
Liu, Andong
Yu, Li
Zhang, Wen-an
JOURNAL OF PROCESS CONTROL, 2012, 22 (09) : 1593 - 1608
[3] Multiple window moving horizon estimation
Al-Matouq, Ali A.
Vincent, Tyrone L.
AUTOMATICA, 2015, 53 : 264 - 274
[4] Moving horizon estimation for hybrid systems
Ferrari-Trecate, G
Mignone, D
Morari, M
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2002, 47 (10) : 1663 - 1676
[5] Moving Horizon Estimation for hybrid systems
Ferrari-Trecate, G
Mignone, D
Morari, M
PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 1684 - 1688
[6] Tracking for the Maneuvering Target Based on Multiple Model and Moving Horizon Estimation
Jiao, Zhiqiang
Li, Weihua
Zhang, Qian
Wang, Peng
2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2015, : 1936 - 1941
[7] Constrained state estimation for stochastic jump systems: moving horizon approach
Sun, Qing
Lim, Cheng-Chew
Liu, Fei
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (05) : 1009 - 1021
[8] Moving horizon estimation approach to constrained systems with uncertain noise covariance
Department of Control Science and Engineering, Jilin University, Changchun 130025, China
Kongzhi yu Juece Control Decis, 2008, 2 (217-220):
[9] A New Approach to State Estimation for Uncertain Linear Systems in a Moving Horizon Estimation Setting
J.Garcia-Tirado
H.Botero
F.Angulo
International Journal of Automation and Computing, 2016, 13 (06) : 653 - 664
[10] A new approach to state estimation for uncertain linear systems in a moving horizon estimation setting
Garcia-Tirado J.
Botero H.
Angulo F.
International Journal of Automation and Computing, 2016, 13 (6) : 653 - 664

← 1 2 3 4 5 →