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Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis

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  • Control Theory and Applications
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Abstract

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.

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Correspondence to Fuqiang You.

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This work was supported by the National Key Research and Development Program of China (No.2019YFF0302203) and the Fundamental Research Funds for the Central Universities (N2104008).

Fuqiang You received his Ph.D. degree from the School of Electronic Information and Electronic Engineering of Shanghai Jiaotong University, China in 2005. Currently, he is an associate professor in Northeastern University, China. His research interests include fault diagnosis and fault-tolerant control of industrial control system.

Dianlong Wang received his bachelor’s degree in electrical engineering and automation from the School of Information of Ludong University in 2019. He is studying for a master’s degree in control science and engineering from Northeastern University. His research interests include fault diagnosis and fault-tolerant control.

Guanghai Li received his doctorate from South China University of Technology. He engaged his postdoctoral research at Tsinghua University in 2003. In June 2005, he entered China Special Equipment Testing Research Institute. He mainly engaged in special equipment safety detection and evaluation of scientific research and engineering application work, research direction for special equipment inspection and evaluation.

Chunhua Chen received his bachelor’s and professional master’s degrees in automation instrument from the Department of Automatic Control of Northeast University.

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You, F., Wang, D., Li, G. et al. Fault Diagnosis Method of Escalator Step System Based on Vibration Signal Analysis. Int. J. Control Autom. Syst. 20, 3222–3232 (2022). https://doi.org/10.1007/s12555-021-0443-z

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  • DOI: https://doi.org/10.1007/s12555-021-0443-z

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