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In the HS, the fault harmonic series are synthesized to enhance fault characteristic features.
The rotating frequency sidebands will occur in the envelope spectrum in addition to the fault characteristic frequency.
This fault characteristic results in extremely fast fault detection and interruption compulsory for an LVDC distribution system.
The diagnosis results indicate that CELMDAN can extract more fault characteristic information with less interference than ELMD.
A bearing fault characteristic spectrum revised approach based on local mean decomposition (LMD) and interpolation correction theory is proposed.
The instantaneous frequency could be calculated for fault characteristic frequency detection when the vibration signals are decomposed into a series of Intrinsic Mode Functions (IMFs).
Similar(29)
The fault characteristics of crankshaft bearing can be extracted efficiently.
Fault rate and individual fault characteristics are stochastically modeled, namely fault location, type and resistance.
The representative IMF containing fault information is selected for demodulation analysis to identify the fault characteristics.
The transient processes become more complicated, and some new fault characteristics will appear.
First, the fault characteristics of an LVDC distribution system are considered.
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