… model for gearbox fault detection. This research proposed an effective method of … fault
detection for rotating machine fault diagnosis through transient modeling and parameter detection…

… Consequently, to foresee possible faults through mathematical models is quite desirable.
Besides, fault models enable fault parameter identification through the inverse problem concept…

… mechanical systems. In this paper, a novel approach based on blind parameter identification
… proposed to diagnose faults for rotating machinery. Signals collected from different types of …

… identify the unbalance parameters in different rotary systems. … Another unbalance parameter
identification and optimization … problem approach is then proposed to identify unbalance …

… for solving the identification problem is … parameter identification, one of the most traditional
optimization algorithms is least square method [11], [12]. However, in real rotating shaft system…

… On this basis, four nonlinear parameters are fused, and the characteristic … and recognition
of the fault signal characteristic. Because the nonlinearity is the syntheses of multi parameters …

… parameter identification problem in a rotor-bearing system is dealt by an algebraic approach.
The system … attenuation in rotating machinery is synthesized using a system model, so that, …

… The optimization problem for parameters identification of rotor… to the rotating speeds, the
identified parameters were well … rotating machineries for increasing the accuracy of identified …

… In this section, the application of the correlation dimension and bispectra in gear damage
detection and flexible rotor system fault identification will be evaluated from the view of the …

… and rotating machines are improved to eliminate user-algorithm interactions and make modal
parameter estimation … , a main challenge for the use of classical OMA is the problem of the …