Actuator Fault Status Evaluation Based on Two-Class NMF Network

Authors

Yinsong Wang, Department of Automation, North China Electric Power University, Baoding 071003, China;
Tianshu Sun, Department of Automation, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: In the feedback control loop, the adjustment ability of controller covers up the performance degradation of the actuator to some degree. A fault state evaluation algorithm based on a two-class non-negative matrix network is proposed to implement online fault state monitoring of the actuator, including fault classification and degradation assessment. The local static features of the samples are extracted, and a classifier model is established to form a network. The similarity is introduced to describe the dynamic characteristics between samples. To fulfill the actuator fault status assessment, the static distance and dynamic changes of the network output are merged to construct the fault discrimination index and degradation index. The effectiveness of the algorithm is proved by the experiment of double-tank tank liquid level cascade control and the single loop simulation based on DAMADICS platform.

Recommended Citation

Wang, Yinsong and Sun, Tianshu (2021) "Actuator Fault Status Evaluation Based on Two-Class NMF Network," Journal of System Simulation: Vol. 33: Iss. 8, Article 16.
DOI: 10.16182/j.issn1004731x.joss.20-0319
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss8/16

First Page

1882

Revised Date

2020-07-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0319

Last Page

1891

CLC

TP215;TP277;TP391.9

Recommended Citation

Wang Yinsong, Sun Tianshu. Actuator Fault Status Evaluation Based on Two-Class NMF Network[J]. Journal of System Simulation, 2021, 33(8): 1882-1891.

DOI

10.16182/j.issn1004731x.joss.20-0319