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Vol. 160, Issue 12, December 2013, pp. 612-618

 

Bullet

 

Fault Diagnosis of Automaton Based on EMD and Close Degree
 
Wang AIYU, Pan HONGXIA, Liu HUILING

School of Mechanical Engineering and Automation, North University of China, 030051, Taiyuan, China
Tel.: 13935146785
E-mail: way8217@163.com

 

Received: 9 October 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Targeting the non-stationary characteristics of short and transient impulse vibration signals of high speed automaton, a new method based on empirical mode decomposition (EMD) and close degree to diagnose fault for high speed automaton is proposed in this paper. Firstly, original acceleration vibration signals are decomposed into a finite number of stationary intrinsic mode functions (IMFs), and then the EMD energy of each IMF is calculated. The correlation analysis is applied and the results show that the first three IMFs contained the most dominant fault information; therefore, the energy feature extracted from the first three IMFs that could serve as a feature vector for fault patterns recognition of automaton. Finally close degree evaluation method was used to diagnose the automaton fault. The experimental results indicate that the proposed approach put forward in this paper can effectively identify automaton fault patterns and it has a great application potential in condition monitoring and fault diagnosis of automaton.

 

Keywords: High-speed automaton, Empirical mode decomposition (EMD), Correlation analysis, Close degree evaluation method, Fault diagnosis.

 

 

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