scholarly journals Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series

2019 ◽  
Author(s):  
Chris Aldrich
Keyword(s):  
Time Series ◽  
Fault Diagnosis ◽  
Dynamic Systems ◽  
Multivariate Time Series ◽  
Continuous Dynamic ◽  
Process Fault Diagnosis

scholarly journals Wind Turbine Gearbox Fault Diagnosis Method Based on Riemannian Manifold

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Shoubin Wang ◽  
Xiaogang Sun ◽  
Chengwei Li
Keyword(s):  
Time Series ◽  
Riemannian Manifold ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Covariance Matrix ◽  
Multivariate Time Series ◽  
Time Sequence ◽  
Mechanical Equipment ◽  
Wind Turbine Gearbox ◽  
Diagnosis Method

As multivariate time series problems widely exist in social production and life, fault diagnosis method has provided people with a lot of valuable information in the finance, hydrology, meteorology, earthquake, video surveillance, medical science, and other fields. In order to find faults in time sequence quickly and efficiently, this paper presents a multivariate time series processing method based on Riemannian manifold. This method is based on the sliding window and uses the covariance matrix as a descriptor of the time sequence. Riemannian distance is used as the similarity measure and the statistical process control diagram is applied to detect the abnormity of multivariate time series. And the visualization of the covariance matrix distribution is used to detect the abnormity of mechanical equipment, leading to realize the fault diagnosis. With wind turbine gearbox faults as the experiment object, the fault diagnosis method is verified and the results show that the method is reasonable and effective.

Model-based fault diagnosis in continuous dynamic systems

2004 ◽  
Vol 43 (3) ◽  
pp. 459-475 ◽  
Author(s):  
C.H. Lo ◽  
Y.K. Wong ◽  
A.B. Rad
Keyword(s):  
Fault Diagnosis ◽  
Dynamic Systems ◽  
Model Based ◽  
Continuous Dynamic

Detecting the nonlinearity for time series sampled from continuous dynamic systems

2005 ◽  
Vol 54 (3) ◽  
pp. 1059
Author(s):  
Lei Min ◽  
Meng Guang ◽  
Feng Zheng-Jin
Keyword(s):  
Time Series ◽  
Dynamic Systems ◽  
Continuous Dynamic
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