Research Article
Design and Implementation of Acoustic Sensing System for Online Early Fault Detection in Industrial Fans
Table 1
Summary of the adaptive Kalman-filtering variables.
| Variable | Definition | Dimension |
| | State vector at time | M-by-1 | | Observation vector at time | N-by-1 | | State transition matrix from time to | M-by-M | | Measurement matrix at time | N-by-M | | Correlation matrix of process noise vector | M-by-M | | Correlation matrix of measurement noise vector | N-by-N | | Predicted estimate of the state vector at time , given the observation vectors | M-by-1 | | Filtered estimate of the state vector at time , given the observation vectors | M-by-1 | | Kalman gain at time | M-by-N | | Innovation vector at time | N-by-1 | | Correlation matrix of the innovation vector | N-by-N | | Correlation matrix of the error in | M-by-M | | Correlation matrix of the error in | M-by-M |
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