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. 2023 Aug 14;23(16):7173. doi: 10.3390/s23167173
The following abbreviations are used in this manuscript:
ARX Autoregressive model with exogenous input
DC Direct current
DIN Designation of standards; German Institute for Standardization
EKF Extended Kalman filter
FDD Fault detection and diagnosis
IEC Designation of standards; International Electrotechnical Commission
ISO Designation of standards; International Organization for Standardization
KF Kalman filter
PMSG Permanent magnet synchronous generator
UKF Unscented Kalman filter
The following nomenclature is used in this manuscript:
A Amplitude
AF Matrix of the system dynamics
F State-input feedback matrix
f(x(t),u1(t)) Nonlinear state function
u1, u2 Electrical voltages across the primary and secondary winding, respectively
i1, i2 Electrical currents of the primary and secondary winding, respectively
L1, L2, M Primary, secondary, and mutual inductances of transformer, respectively
Lfm Lie derivatives
us White noise variable
Ud Pre-compensation matrix
h2 Scalar output measurement function
H1,H2 Output Jacobian measurement matrix, respectively
J Assessment criteria
Jk Jacobian matrix
K Inductive coupling coefficient
k Kalman gain
O(x(t)) Nonlinear observability matrix
N Natural numbers
Nd Number of possible determinants
p,n Numbers of columns and rows of observability matrix, respectively
Pk+,Pk Posterior and a priori estimation error covariance matrix
QEKF1,QEKF2 Covariance matrices Q1,Q2 of process noise, respectively
r1,r2 Variance matrices of soft sensors
R1,R2,RL    Primary and secondary winding and electrical load resistances, respectively
t,tstart,tstop    Continuous time, start time, and stop time, respectively
Ts    Sampling period
x(t)    System state
x^k+    A posteriori estimation of system state
x^k    A priori estimation of system state
ω    Angular frequency
ϕ    Angular phase
ϕ1,ϕm    Primary stray flux and core flux of transformer, respectively
Φs    Phase noises