Expectation-Maximization Particle-Filter- and Kalman-Filter-Based Permanent Magnet Temperature Estimation for PMSM Condition Monitoring Using High-Frequency Signal Injection.
Guodong FengChunyan LaiNarayan C. KarPublished in: IEEE Trans. Ind. Informatics (2017)
Keyphrases
- high frequency
- particle filter
- condition monitoring
- kalman filter
- expectation maximization
- state estimation
- low frequency
- extended kalman filter
- object tracking
- permanent magnet
- particle filtering
- kalman filtering
- em algorithm
- vibration signal
- parameter estimation
- appearance model
- high resolution
- motion model
- fault diagnosis
- state space
- fault detection
- high frequency components
- wavelet transform
- subband
- wavelet coefficients
- mean shift
- density estimation
- magnetic field
- frequency domain
- maximum likelihood
- multiresolution
- feature vectors
- neural network
- artificial intelligence
- decision making
- image segmentation
- image sequences
- multiscale
- fuzzy logic controller
- expert systems
- probabilistic model
- noise reduction
- real time