@inproceedings{a8d231b015c94c80972bdec36e0f5c74,
title = "Observer-Based Fault Diagnosis for Re-entrant Manufacturing Systems",
abstract = "This paper investigates the fault detection and diagnosis problem of re-entrant manufacturing systems (RMSs) in the presence of workstation faults. In order to visualize the dynamical behaviors of RMSs under the influence of impulse-type faults, a hyperbolic hybrid partial differential equation (PDE) continuum model is developed. Based on the diagnostic observer, a residual evaluation logic composed of an evaluation function and thresholds is proposed for fault detection. Upon detecting the faults, an adaptive observer which utilizes an adaptive fault estimation algorithm is proposed to accomplish the estimation of faults. By introducing a piecewise Lyapunov function candidate, the asymptotic stability (AS) conditions are presented to guarantee the boundness of the estimation error. The feasibility and applicability of the proposed strategy are validated through numerical simulations.",
keywords = "Adaptive observer, Fault diagnosis, Hyperbolic partial differential equation (PDE), Re-entrant manufacturing systems (RMSs)",
author = "Hao Sun and Qing Gao and Ding, \{Steven X.\} and Wei Wang and Jinhu L{\"u}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 6th Conference on Intelligent Networked Things on Intelligent Networked Things, CINT 2024 ; Conference date: 18-05-2024 Through 18-05-2024",
year = "2024",
doi = "10.1007/978-981-97-3951-6\_12",
language = "英语",
isbn = "9789819739509",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "113--125",
editor = "Lin Zhang and Wensheng Yu and Quan Wang and Yuanjun Laili and Yongkui Liu",
booktitle = "Intelligent Networked Things - The 6th Conference on Intelligent Networked Things, CINT 2024, Proceedings",
address = "德国",
}