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Faults are diagnosed by on-line contrasting the residual signal trajectories against a set of values that the residuals can be shown to attain under healthy or faulty operation.
Finally, in guidance of elaborately designed fault related sensitive indexes, latent fault feature subspaces can be adaptively recognized and multiple faults are diagnosed simultaneously.
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The theoretical derivations are illustrated by numerical simulation, and further validated experimentally and all the three fault cases (i.e. outer race, rolling element and inner race localized fault) are diagnosed.
Finally, the fault is diagnosed using Fourier transform of the stator current and verified by experimental results.
Active FTC systems work in such a way that when a fault is diagnosed by a Fault Detection and Isolation (FDI) unit, the control law is reconfigured to compensate the effect of fault.
High P fp makes the system unreliable because too many of the fault cases that are diagnosed are not real.
The results show that both localized and distributed gear faults, both the sun and planet gear faults, can be diagnosed successfully.
The results show that both localized and distributed gear faults can be diagnosed successfully.
Attributed to the simple calculation of the mathematical model being constructed, different kinds of machine faults may be diagnosed correctly and quickly.
All equipment will fail and the designer of a PLC system should build in methods to allow common faults to be diagnosed quickly.
To make the first type of disturbance can be rejected and the fault can be diagnosed, a composite fault diagnosis observer with disturbance observer is constructed.
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