scholarly journals An observer‐based fault tolerance control system with a static filter and its application to high‐rise buildings

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Chao‐Jun Chen ◽  
Zuo‐Hua Li ◽  
Jun Teng ◽  
Qing‐Gui Wu ◽  
Bei‐Chun Lin
Keyword(s):  
Control System ◽  
Fault Tolerance ◽  
High Rise ◽  
Tolerance Control

Active fault tolerance control system of fuel cell hybrid city bus

2010 ◽  
Vol 35 (22) ◽  
pp. 12510-12520 ◽  
Author(s):  
Liangfei Xu ◽  
Jianqiu Li ◽  
Minggao Ouyang ◽  
Jianfeng Hua ◽  
Xiangjun Li
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Fault Tolerance ◽  
Cell Hybrid ◽  
Active Fault ◽  
City Bus ◽  
Tolerance Control ◽  
Fuel Cell Hybrid

Intelligent work-situation fault diagnosis and fault-tolerant system for the shaft-furnace roasting process

2007 ◽  
Vol 221 (6) ◽  
pp. 843-855 ◽  
Author(s):  
Tianyou Chai ◽  
Fenghua Wu ◽  
Jinliang Ding ◽  
Chun-Yi Su
Keyword(s):  
Control System ◽  
Fault Tolerance ◽  
Fault Diagnosis ◽  
Shaft Furnace ◽  
Process Conditions ◽  
Case Based Reasoning ◽  
Level Control ◽  
Work Situation ◽  
Roasting Process ◽  
Tolerance Control

During roasting in a shaft furnace (used for the deoxidizing roasting of ore), work-situation faults (WSFs) arise as a result of variations in process conditions and off-spec operation. These work-situation faults can be potentially disastrous and can lead to a total collapse of the control system if they are not detected and diagnosed in time. Furthermore, by their very nature they have to be distinguished from the results addressed by existing methods of diagnosis and tolerance control. This paper presents an innovative work-situation fault diagnosis (WSFD) and fault-tolerance control (FTC) strategy for a control system where a combination of neural networks, expert system, and case-based reasoning is used. As such, a system is established that consists of a magnetic tube recovery rate (MTRR) prediction model, a work-situation fault diagnosis unit, and a fault-tolerance controller. The proposed system diagnoses imminent work-situation faults, and then the fault-tolerance controller adjusts the set-points of the control loops. The outputs of the lower-level control system track the modified set-points, which makes the process deviate gradually from work-situation faults with an acceptable product quality. The proposed system has been applied to the shaft-furnace roasting process in the largest minerals processing factory in China and has reduced the frequency of all work-situation faults by more than 50 per cent, with the ratio of furnace operation increased by 2.98 per cent. It has been proven to provide many benefits to the factory.

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