文章摘要
Zhao Haipeng (赵海朋)*,Mao Zhiwei*,Zhang Jinjie**,Lai Yuehua*,Wang Zijia*,Jiang Zhinong*.[J].高技术通讯(英文),2020,(3):270~277
Research on full-period acquisition method for diesel engine based on self-adaptive correlation analysis
  
DOI:doi:10.3772/j.issn.1006-6748.2020.03.005
中文关键词: 
英文关键词: diesel engine, key phase, full-period acquisition, vibration signal
基金项目:
Author NameAffiliation
Zhao Haipeng (赵海朋)* (*Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
Mao Zhiwei* (*Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
Zhang Jinjie** (**Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
Lai Yuehua* (*Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
Wang Zijia* (*Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
Jiang Zhinong* (*Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029, P.R.China) 
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中文摘要:
      
英文摘要:
      Full-period signal acquisition of vibration signal plays a vital role in the health monitoring and fault diagnosis of modern industrial equipment group. The traditional full-period signal acquisition methods usually need not only a reference signal generated from special key phase device but also a reserved position, which is only suitable for a small number of particular equipment. A novel full-period signal acquisition method without key phase is proposed to construct the time-frequency method with strong energy concentration called the synchrosqueezing generalized S-Transform (SGST), combining together the Teager energy operator (TEO) and self-adaptive correlation analysis (SACA) based on the vibration signals of both gear and cylinder head. Actual vibration signals of diesel engine are employed to verify the feasibility and effectiveness of the proposed method by comparing with traditional method with special key phase device. By comparisons, the results show that full-period signal acquisition method without key phase has approximate accuracy for diesel engine under different working conditions.
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