Abstract:
An improved algorithm with feature selection and neural network classification is proposed in this paper to investigate the fault diagnosis problem of rotating machinery....Show MoreMetadata
Abstract:
An improved algorithm with feature selection and neural network classification is proposed in this paper to investigate the fault diagnosis problem of rotating machinery. The feature vectors are constructed by extracting the time- and frequency-domain characteristics of the overall machine under multiple operating conditions. To strengthen the fault diagnostic ability, an improved sensitive feature selection algorithm is proposed by improving the distance evaluation (DE) method and reconstructing a low-dimensional sensitive feature sample with selectively chosen parameters from multidimensional feature vectors. The recursive least square backpropagation (RLS-BP) neural network algorithm is used for fault diagnosis by classifying the feature vectors of normal signal and faulty signals. The effectiveness of the proposed method is verified via hardware experiments using wind turbine drivetrain diagnostics simulator (WTDDS) by comparing with conventional feature vector construction methods and neural network algorithm.
Published in: IEEE Transactions on Instrumentation and Measurement ( Volume: 69, Issue: 4, April 2020)
Funding Agency:
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Qidong Lu received the B.Eng. degree from the Shandong University of Science and Technology, Qingdao, China, in 2016, where he is currently pursuing the M.Eng. degree with the College of Electrical Engineering and Automation.
His current research interests include fault detection, fault-tolerant control, and mechanical fault diagnosis based on data driven.
Qidong Lu received the B.Eng. degree from the Shandong University of Science and Technology, Qingdao, China, in 2016, where he is currently pursuing the M.Eng. degree with the College of Electrical Engineering and Automation.
His current research interests include fault detection, fault-tolerant control, and mechanical fault diagnosis based on data driven.View more
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
Rui Yang received the B.Eng. degree in computer engineering and the Ph.D. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2008 and 2013, respectively.
He is currently a Lecturer with the Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China, and an Honorary Lecturer with the University of Liverpool, Liverpool, U.K. ...Show More
Rui Yang received the B.Eng. degree in computer engineering and the Ph.D. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2008 and 2013, respectively.
He is currently a Lecturer with the Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China, and an Honorary Lecturer with the University of Liverpool, Liverpool, U.K. ...View more
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Maiying Zhong received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1999.
From 2000 to 2001, she was a Visiting Scholar with the University of Applied Sciences Lausitz, Senftenberg, Germany. From 2002 to 2008, she was a Professor with the School of Control Science and Engineering, Shandong University, Jinan, China. From 2006 to 2007, she was a Post-Doctoral Re...Show More
Maiying Zhong received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1999.
From 2000 to 2001, she was a Visiting Scholar with the University of Applied Sciences Lausitz, Senftenberg, Germany. From 2002 to 2008, she was a Professor with the School of Control Science and Engineering, Shandong University, Jinan, China. From 2006 to 2007, she was a Post-Doctoral Re...View more
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Youqing Wang received the B.S. degree from Shandong University, Jinan, Shandong, China, in 2003, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2008.
He was a Research Assistant with the Department of Chemical Engineering, The Hong Kong University of Science and Technology, Hong Kong, from 2006 to 2007. From 2008 to 2010, he was a Senior Investigator with the Department...Show More
Youqing Wang received the B.S. degree from Shandong University, Jinan, Shandong, China, in 2003, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2008.
He was a Research Assistant with the Department of Chemical Engineering, The Hong Kong University of Science and Technology, Hong Kong, from 2006 to 2007. From 2008 to 2010, he was a Senior Investigator with the Department...View more
Contents College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Qidong Lu received the B.Eng. degree from the Shandong University of Science and Technology, Qingdao, China, in 2016, where he is currently pursuing the M.Eng. degree with the College of Electrical Engineering and Automation.
His current research interests include fault detection, fault-tolerant control, and mechanical fault diagnosis based on data driven.
Qidong Lu received the B.Eng. degree from the Shandong University of Science and Technology, Qingdao, China, in 2016, where he is currently pursuing the M.Eng. degree with the College of Electrical Engineering and Automation.
His current research interests include fault detection, fault-tolerant control, and mechanical fault diagnosis based on data driven.View more
Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
Rui Yang received the B.Eng. degree in computer engineering and the Ph.D. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2008 and 2013, respectively.
He is currently a Lecturer with the Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China, and an Honorary Lecturer with the University of Liverpool, Liverpool, U.K. His current research interests include data-driven intelligent fault diagnosis.
Rui Yang received the B.Eng. degree in computer engineering and the Ph.D. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2008 and 2013, respectively.
He is currently a Lecturer with the Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China, and an Honorary Lecturer with the University of Liverpool, Liverpool, U.K. His current research interests include data-driven intelligent fault diagnosis.View more
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Maiying Zhong received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1999.
From 2000 to 2001, she was a Visiting Scholar with the University of Applied Sciences Lausitz, Senftenberg, Germany. From 2002 to 2008, she was a Professor with the School of Control Science and Engineering, Shandong University, Jinan, China. From 2006 to 2007, she was a Post-Doctoral Researcher Fellow with Central Queensland University, Rockhampton, QLD, Australia. From 2009 to 2016, she was a Professor with the School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing, China. In 2016, she joined the Shandong University of Science and Technology, Qingdao, China, where she is currently a Professor with the College of Electrical Engineering and Automation. Her current research interests include model-based fault diagnosis, fault-tolerant systems, and their applications.
Maiying Zhong received the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1999.
From 2000 to 2001, she was a Visiting Scholar with the University of Applied Sciences Lausitz, Senftenberg, Germany. From 2002 to 2008, she was a Professor with the School of Control Science and Engineering, Shandong University, Jinan, China. From 2006 to 2007, she was a Post-Doctoral Researcher Fellow with Central Queensland University, Rockhampton, QLD, Australia. From 2009 to 2016, she was a Professor with the School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing, China. In 2016, she joined the Shandong University of Science and Technology, Qingdao, China, where she is currently a Professor with the College of Electrical Engineering and Automation. Her current research interests include model-based fault diagnosis, fault-tolerant systems, and their applications.View more
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Youqing Wang received the B.S. degree from Shandong University, Jinan, Shandong, China, in 2003, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2008.
He was a Research Assistant with the Department of Chemical Engineering, The Hong Kong University of Science and Technology, Hong Kong, from 2006 to 2007. From 2008 to 2010, he was a Senior Investigator with the Department of Chemical Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA. In 2015, he was a Visiting Professor with the Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada. He is currently a Professor with the Shandong University of Science and Technology, Qingdao, China. His current research interests include fault-tolerant control, state monitoring, modeling and control of biomedical processes (e.g., artificial pancreas system), and iterative learning control.
Dr. Wang holds membership of two IFAC Technical Committees (TC6.1 and TC8.2). He was a recipient of several research awards, including the Journal of Process Control Survey Paper Prize and the ADCHEM2015 Young Author Prize. He is also an (Associate) Editor of Multidimensional Systems and Signal Processing and The Canadian Journal of Chemical Engineering.
Youqing Wang received the B.S. degree from Shandong University, Jinan, Shandong, China, in 2003, and the Ph.D. degree in control science and engineering from Tsinghua University, Beijing, China, in 2008.
He was a Research Assistant with the Department of Chemical Engineering, The Hong Kong University of Science and Technology, Hong Kong, from 2006 to 2007. From 2008 to 2010, he was a Senior Investigator with the Department of Chemical Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA. In 2015, he was a Visiting Professor with the Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada. He is currently a Professor with the Shandong University of Science and Technology, Qingdao, China. His current research interests include fault-tolerant control, state monitoring, modeling and control of biomedical processes (e.g., artificial pancreas system), and iterative learning control.
Dr. Wang holds membership of two IFAC Technical Committees (TC6.1 and TC8.2). He was a recipient of several research awards, including the Journal of Process Control Survey Paper Prize and the ADCHEM2015 Young Author Prize. He is also an (Associate) Editor of Multidimensional Systems and Signal Processing and The Canadian Journal of Chemical Engineering.View more
