Active fault diagnosis for a class of closed-loop systems via parameter estimation

Jia, Fanlin; Cao, Fangfei; Guo, Yaqi; He, Xiao

doi:10.1016/j.jfranklin.2022.02.025

Cited by 12 publications

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most commonly used methods are model-based methods and datadriven methods [3,4]. Model-based methods of fault diagnosis are based on an accurate dynamic model of the system, then to compare the information of the obtained model with the measurement of the diagnostic object to construct residual signals and evaluate them [5]. The mainly methods of model-based include state estimation method, parameter estimation method and parity space method, and the detailed overview of them is summarized in [6] and [7].…”

Section: Introductionmentioning

confidence: 99%

Integrated spatio‐temporal process monitoring and fault spatial location for the laminar cooling of hot‐rolled strip steel

Wang

Peng

2023

IET Control Theory & Appl

View full text Add to dashboard Cite

Laminar cooling process is crucial for the production and the quality of the strip steel in the hot‐rolled strip steel. Abnormalities or faults influence the temperature distributions in the direction of the length and the thickness, which determine the mechanical and physical performance of the strip steel. Considering that the spatial distribution of the strip temperature is hardly measured, the distributed parameter model can be constructed to deal with the problem of the abnormality detection and location. In this paper, a process monitoring and fault spatial location method with spatio‐temporal integration is proposed for the laminar cooling. First, a spatio‐temporal model is constructed by multi‐modelling method to monitor the spatial distribution of the strip temperature, and the dimension of the local thermodynamic model is reduced by time‐space separation. Then, a residual generator is provided for fault detection in the data‐driven realization, and the statistic and the threshold are formed to evaluate it. Next, the spatial location of the fault can be identified by reconstruction based contribution method. Finally, an experiment is conducted to demonstrate the practical application effects by a real laminar cooling process data.

show abstract