论文信息 - Cointegration analysis method for fault detection based on sensor data - 字舞流文

Cointegration analysis method for fault detection based on sensor data

R V Faizullin | S Hering | R. Faizullin | S. Hering

[1] S. Johansen. STATISTICAL ANALYSIS OF COINTEGRATION VECTORS , 1988 .

[2] Tao Yuan,et al. Nonstationarity and cointegration tests for fault detection of dynamic processes , 2014 .

[3] Ruey S. Tsay,et al. Analysis of Financial Time Series: Tsay/Analysis of Financial Time Series , 2005 .

[4] Tadeusz Uhl,et al. Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data , 2018 .

[5] P. Perron,et al. Estimating and testing linear models with multiple structural changes , 1995 .

[6] C. Granger,et al. Co-integration and error correction: representation, estimation and testing , 1987 .

[7] Duo Zhang,et al. Use Long Short-Term Memory to Enhance Internet of Things for Combined Sewer Overflow Monitoring , 2018 .

[8] Guofeng Wang,et al. Tool wear monitoring based on cointegration modelling of multisensory information , 2014, Int. J. Comput. Integr. Manuf..

[9] Thomas F. Edgar,et al. Identification of faulty sensors using principal component analysis , 1996 .

[10] Leo H. Chiang,et al. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis , 2000 .

[11] Xianbin Wang,et al. Recursive Principal Component Analysis-Based Data Outlier Detection and Sensor Data Aggregation in IoT Systems , 2017, IEEE Internet of Things Journal.