A Fault Detection Scheme for Switched Systems With Noise Under Asynchronous Switching

2019 ◽  
Author(s):  
Yuhong Na ◽  
Masood Ahmad
Keyword(s):  
Fault Detection ◽  
Switched Systems ◽  
Asynchronous Switching ◽  
Detection Scheme

scholarly journals A Fault Detection Scheme for Uncertain Switched Systems Under Asynchronous Switching

2018 ◽  
Vol 51 (24) ◽  
pp. 117-122 ◽  
Author(s):  
Yuhong Na ◽  
Linlin Li ◽  
Steven X. Ding ◽  
Ali Abdo
Keyword(s):  
Fault Detection ◽  
Switched Systems ◽  
Asynchronous Switching ◽  
Detection Scheme

scholarly journals Fault detection for continuous-time switched systems under asynchronous switching

2013 ◽  
Vol 24 (11) ◽  
pp. 1694-1706 ◽  
Author(s):  
Dongsheng Du ◽  
Bin Jiang ◽  
Peng Shi ◽  
Hamid Reza Karimi
Keyword(s):  
Fault Detection ◽  
Continuous Time ◽  
Switched Systems ◽  
Asynchronous Switching

scholarly journals Integrated Fault Detection and Fault Tolerant Control for Switched Systems with Asynchronous Switching

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Supeng Zhu ◽  
Haoyu Cheng ◽  
Wenxing Fu ◽  
Xiaohan Zhao ◽  
Wenyuan Li ◽  
...  
Keyword(s):  
Fault Detection ◽  
Switched Systems ◽  
Fault Tolerant ◽  
Average Dwell Time ◽  
Fault Tolerant Control ◽  
Functional Method ◽  
Linear Matrix ◽  
Asynchronous Switching ◽  
Finite Time Stability ◽  
Average Dwell Time Method

The problem of integrated fault detection and fault tolerant control for switched systems with asynchronous switching is focused on in this paper. Based on the switched model, the inherent asynchronous switching is taken into consideration. The asynchronous switching means that the switching of filters/controllers will always lag behind the switching of modes, which will degrade the performance of the closed-loop system. The Lyapunov functional method and mode-dependent average dwell time method are combined for the analysis of the finite-time stability of the switched system. The properties of each subsystem are taken into consideration, which are less conservative. To achieve optimal performance, the filters and controllers are designed simultaneously. The parameters of filters and controllers are given in the form of linear matrix inequalities. In the end, the numerical example is given to illustrate the effectiveness of the proposed method.

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

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