Fault detection of pressure sensor of blast furnace fan based on Chaos Sparrow Search Algorithm-Support vector machine regression

Abstract

The sensor diagnosis system of the blast furnace axial fan is very important to the safety of the blast furnace fan control system. In view of the fact that the sensor fault detection of the blast furnace fan is not considered in the existing research, this paper proposes to use SVR to establish a fault detection model for the blast furnace fan outlet pressure sensor, and then use the improved chaotic sparrow algorithm to optimize the selection of the SVR penalty parameters and kernel function parameters Find the optimal parameters. By comparing the model prediction value and the residual error of the diagnostic sensor output value, the sensor fault diagnosis is realized. When the fault is judged, the model prediction value is used instead of the fault sensor output value to be used by the blast furnace fan control system to realize the fault-tolerant control of the blast furnace fan control system. The simulation results show that this method realizes the fault detection of the pressure sensor of the blast furnace fan and improves the safety of the blast furnace production.

Recent Versions and Applications of Sparrow Search Algorithm

“…Zhang et al [ 72 ] integrated the chaotic SSA with a support vector machine for fault detection of the pressure sensor of the blast furnace fan. This algorithm is called the CSSA-SVM model.…”

“…The node localization of wireless sensor networks is solved by SSA [ 44 , 62 ]. Also, SSA has provided a promising solution for fault detection of the pressure sensor of blast furnace fan in wireless sensor networks [ 72 ]. For heterogeneous nodes, SSA is used to tackle by SSA [ 121 ].…”

A review of anti-surge control systems of compressors and advanced fault-tolerant control techniques for integration perspective

“…Several other applications can be implemented in the observer model of AFTCS in anti-surge control systems. For example, a support vector machine (SVM) and chaos sparrow search-based control is applied to surge prevention in blast furnace fans [ 120 ]. The proposed fault-tolerant system will detect the fault in a sensor and replace the faulty sensor value with the virtual values.…”