Abstract:
This paper presents a new time-frequency (TF) analysis method called matching synchrosqueezing wavelet transform (MSWT) to signals with fast varying instantaneous frequen...Show MoreMetadata
Abstract:
This paper presents a new time-frequency (TF) analysis method called matching synchrosqueezing wavelet transform (MSWT) to signals with fast varying instantaneous frequency (IF). The original synchrosqueezing wavelet transform (SWT) can effectively improve the readability of TF representation (TFR) of signals with slowly varying IF. However, SWT still suffers from TF blurs for signals with fast varying IF. Moreover, the variable operating conditions of the aeroengine always make the vibration a signal with fast varying IF, especially when it comes to significant speed changes, which results in the obscure TFR for aeroengine vibration monitoring. In this paper, the MSWT introduces a chirp rate estimation into a comprehensive IF estimation to match the TF structure of the signals with fast varying IF and thus to achieve a highly concentrated TFR as the standard TF reassignment methods. Most importantly, the MSWT retains the reconstruction benefit like the SWT. The proposed MSWT is validated by both numerical simulation and applications in a bat echolocation signal analysis. Finally, a case study of a dual-rotor turbofan engine is given to illustrate the effectiveness of the proposed method for aeroengine vibration monitoring.
Published in: IEEE Transactions on Instrumentation and Measurement ( Volume: 66, Issue: 2, February 2017)
Funding Agency:
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Shibin Wang received the B.S. and M.S. degrees in electrical engineering from Soochow University, Suzhou, China, in 2008 and 2011, respectively, and the Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015.
He is currently a Lecturer of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include time-frequency analysis and signal processing in machin...Show More
Shibin Wang received the B.S. and M.S. degrees in electrical engineering from Soochow University, Suzhou, China, in 2008 and 2011, respectively, and the Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015.
He is currently a Lecturer of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include time-frequency analysis and signal processing in machin...View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Xuefeng Chen (M’12) received the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2004.
He is currently a Professor of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include finite-element method, mechanical system and signal processing, diagnosis and prognosis for complicated industrial systems, smart structures, aero-engine fault diagnosis, and wind turbine system monit...Show More
Xuefeng Chen (M’12) received the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2004.
He is currently a Professor of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include finite-element method, mechanical system and signal processing, diagnosis and prognosis for complicated industrial systems, smart structures, aero-engine fault diagnosis, and wind turbine system monit...View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Chaowei Tong received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014, where he is currently pursuing the Ph.D. degree.
His current research interests include time-frequency analysis and signal processing in machine condition monitoring.
Chaowei Tong received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014, where he is currently pursuing the Ph.D. degree.
His current research interests include time-frequency analysis and signal processing in machine condition monitoring.View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Zhibin Zhao received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015, where he is currently pursuing the Ph.D. degree in mechanical engineering.
His current research interests include sparse signal approximation and dictionary learning for machinery health monitoring.
Zhibin Zhao received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015, where he is currently pursuing the Ph.D. degree in mechanical engineering.
His current research interests include sparse signal approximation and dictionary learning for machinery health monitoring.View more
Contents State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Shibin Wang received the B.S. and M.S. degrees in electrical engineering from Soochow University, Suzhou, China, in 2008 and 2011, respectively, and the Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015.
He is currently a Lecturer of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include time-frequency analysis and signal processing in machine condition monitoring.
Shibin Wang received the B.S. and M.S. degrees in electrical engineering from Soochow University, Suzhou, China, in 2008 and 2011, respectively, and the Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015.
He is currently a Lecturer of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include time-frequency analysis and signal processing in machine condition monitoring.View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Xuefeng Chen (M’12) received the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2004.
He is currently a Professor of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include finite-element method, mechanical system and signal processing, diagnosis and prognosis for complicated industrial systems, smart structures, aero-engine fault diagnosis, and wind turbine system monitoring.
Dr. Chen was a recipient of the National Excellent Doctoral Dissertation of China in 2007, the Second Award of Technology Invention of China in 2009, the National Science Fund for Distinguished Young Scholars in 2012, and a Chief Scientist of the National Key Basic Research Program of China (973 Program) in 2015. He is the Chapter Chairman of the IEEE Xi’an and Chengdu Joint Section Instrumentation and Measurement Society.
Xuefeng Chen (M’12) received the Ph.D. degree from Xi’an Jiaotong University, Xi’an, China, in 2004.
He is currently a Professor of Mechanical Engineering with Xi’an Jiaotong University. His current research interests include finite-element method, mechanical system and signal processing, diagnosis and prognosis for complicated industrial systems, smart structures, aero-engine fault diagnosis, and wind turbine system monitoring.
Dr. Chen was a recipient of the National Excellent Doctoral Dissertation of China in 2007, the Second Award of Technology Invention of China in 2009, the National Science Fund for Distinguished Young Scholars in 2012, and a Chief Scientist of the National Key Basic Research Program of China (973 Program) in 2015. He is the Chapter Chairman of the IEEE Xi’an and Chengdu Joint Section Instrumentation and Measurement Society.View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Chaowei Tong received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014, where he is currently pursuing the Ph.D. degree.
His current research interests include time-frequency analysis and signal processing in machine condition monitoring.
Chaowei Tong received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014, where he is currently pursuing the Ph.D. degree.
His current research interests include time-frequency analysis and signal processing in machine condition monitoring.View more
State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Zhibin Zhao received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015, where he is currently pursuing the Ph.D. degree in mechanical engineering.
His current research interests include sparse signal approximation and dictionary learning for machinery health monitoring.
Zhibin Zhao received the B.S. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2015, where he is currently pursuing the Ph.D. degree in mechanical engineering.
His current research interests include sparse signal approximation and dictionary learning for machinery health monitoring.View more
