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Abstract:
On-line
identification the running state for kind of rotary machines, which are
often running under complicated condition and have not clear evaluation
criterion for states, is studied by adaptive digital filter arithmetic.
The adaptive digital filter arithmetic and the identification principle
are discussed, an application example is given, and the result indicates
that the method can discriminate between normal states and abnormal
states. By this method, computation cost is low, and on-line
identification can be archived easily.
Key words:
Adaptive
digital filter arithmetic Time series ARIMA model
State identification
CLC No: O329
Received
20000811, received in revised form 20010326
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