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Fuqiang You,Chao Wang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1
This article studies the fault estimation problem of linear systems with unkown state time-varying delay. A new PD learning observer (LO) is proposed to realize the simultaneous estimation of system states and actuator fault. Furthermore, the time-delay dependence criterion of the existence of the proposed observer is given through the technique of linear matrix inequalites (LMIs). Because the mismatch between the original system and the observer system in the time delay term has a bad influence on the fault estimation, the H∞ performance index is introduced. At the same time, the problem of sensor fault estimation based on PD learning observer for time-delay systems is studied. Finally, three simulation examples are used to prove the effectiveness of the proposed method.
Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis
Fuqiang You,Dianlong Wang,Chunhua Chen,Guanghai Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.10
For the problem that escalator fault diagnosis is difficult to realize, this paper proposes a fault diagnosis method based on vibration signal analysis. The vibration signal is collected from three parts: step guide rail, main drive shaft and main engine. The wavelet threshold denoising algorithm based on Ensemble Empirical Mode Decomposition (EEMD) is used to denoise the vibration signal. The signal characteristics are extracted, and the fault detection is performed through the Support Vector Machine (SVM) fault detection model. For the fault signal, the improved envelope spectrum analysis method is used to extract the characteristic frequency and corresponding amplitude to form the characteristic vector, and the Support Vector Machine for Particle Swarm Optimization (PSO-SVM) algorithm is used to identify the location of the fault. The experimental results show that this method has high accuracy in the fault diagnosis of escalator step system.