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Abstract:
In the
view of information fusion, the methods how to evaluate the vibration
state of rotating machinery with single and multiple channel signals
systematically is studied. The several spectrum entropy features in
different domains are proposed. Multi-channel singular spectrum entropy
reflects the indetermination degree of vibration energy distribution of
spatially spreading multi-sensor signals in time domain. Whirling state
feature entropy of multi-section rotor considers the complication of
energy and state varying simultaneously in frequency domain. Wavelet
space feature entropy characterizes complexity of feature patterns
distribution in time-frequency domain. The analysis and calculation of
the fault signals show that these information entropy are capable of
classifying and indicating complication degree of faulty signals
authentically, so they can form the characteristic index of effectively
and synthetically evaluating the rotor vibrating state.
Key words:
Information entropy Rotating machinery State evaluation
Information fusion
CLC No: O235 TK26
国家“攀登B”项目资助. Received 20000612,
received in revised form 20001116
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